Acoustic Emission in Monitoring Extremely Slowly Rotating Rolling Bearing

Size: px
Start display at page:

Download "Acoustic Emission in Monitoring Extremely Slowly Rotating Rolling Bearing"

Transcription

1 Paper C Miettinen, J., Pataniitty, P. Acoustic Emission in Monitoring Extremely Slowly Rotating Rolling Bearing. In: Proceedings of COMADEM 99. Oxford, Coxmoor Publishing Company ISBN pp

2 1 Acoustic Emission in Monitoring Extremely Slowly Rotating Rolling Bearing Juha Miettinen * and Pentti Pataniitty ** * Tampere University of Technology, Machine Design P.O. Box 589, SF Tampere, Finland miettinen@ruuvi.me.tut.fi ** Acutest Oy, Hermiankatu 8 D SF Tampere, Finland acutest@co.inet.fi Abstract: There are not international standards or universally accepted limit values available, that classify rotating machines as slow or high speed machines. The old international standard ISO 2372, which has been replaced with the new ISO standard, gave the vibration velocity severity ranges for different classes of machines. The old standard covered machines with rotational speeds from 600 rpm to rpm. The new standard does not contain any rotational speed limits. Sometimes the limit for low-speed rotating machines is set to 20 rpm or 30 rpm. In industry, it is easy to find machinery where the rotational speed in continuous running is lower than 2 rpm. In the condition monitoring of rotating machines, it is common practice to measure the vibration velocity or acceleration. At very low frequency, the vibration velocity amplitude becomes weak and therefore displacement measurement can sometimes be a suitable vibration measurement parameter. When the rolling element in the rolling bearing passes the early-stage fault in the case of an extremely low rotational speed, the energy that the collision generates is very low. In that case, the defect is difficult to detect in the frequency domain but can possibly be seen in the time domain. The frequency bandwidth of acoustic emission (AE) measurement method is typically in the range 100 khz to 1 MHz. In that range, vibrations occur in a material by fracture of crystallites, crack nucleation and growth, several mechanisms involving dislocations, phase transformations in materials, boiling and electrical discharges. Each of these mechanisms is characterised by a rapid collective motion of a group of atoms. The present paper describes the use of the acoustic emission method in the monitoring of faults in an extremely slowly rotating rolling bearing. The introduction describes the principle of the measurement method of acoustic emission and the analysis methods used for the acoustic emission signal. The paper contains the results of AE measurements where the rotational speed of the shaft was from 0.5 rpm to 5 rpm. The measurements were carried out using a laboratory test rig with grease lubricated spherical roller bearings of an inner diameter of 130 mm and a load of 70 kn. Prior to testing the test bearing had been naturally damaged on its outer race during normal use in industry. The results of the acoustic emission measurement have been compared with the results of low-frequency vibration measurements, which have been carried out in the same test arrangement. The paper gives an example where acoustic emission measurements have been used in industry, in the monitoring of slowly rotating machinery. Keywords: acoustic emission, vibration measurement, slowly rotating bearings 1. Introduction Acoustic emission can be described as a shock wave inside a material, which is under stress. The shock wave causes the surface of the material to move, and this movement is measured with a very sensitive sensor. The shock, or transient elastic wave, is generated by a rapid release of energy from a local source within the material. The sources of acoustic emission (AE) comprise different mechanisms of deformation and fracture including the fracture of crystallites, crack nucleation and growth, several mechanisms

3 2 involving dislocations, phase transformations in materials, boiling and electrical discharges. Each of these mechanisms is characterised by a rapid collective motion of a group of atoms (Beattie, 1983). The intensity of acoustic emission vibration, often called AE activity, depends on the type of material and on the properties of the material. In Table 1 (Miller, 1987), some factors that affect the relative amplitude of the acoustic emission response are presented. Table 1. Factors that affect the relative amplitude of the acoustic emission response (Miller, 1987). Factors that tend to increase the acoustic emission response amplitude High strength High strain rate Low temperature Anisotropy Nonhomogeneity Thick sections Brittle failure (cleavage) Material containing discontinuities Martensite phase transformations Crack propagation Cast materials Large grain size Mechanically induced twinning Factors that tend to decrease the acoustic emission response amplitude Low strength Low strain rate High temperature Isotropy Homogeneity Thin sections Ductile failure (shear) Material without discontinuities Diffusion-controlled phase transformations Plastic deformations Wrought materials Small grain size Thermally induced twinning A particular feature, which affects the activity of the acoustic emission, is called the Kaiser effect. The Kaiser effect means that when a defined stress has been applied on the material and it has caused acoustic emission, additional emission will not be induced in to the material until defined level of stress has been exceeded, even if the load is completely removed and then reapplied (Miller, 1987). Because of the Kaiser effect, each AE wave can occur only once. The Kaisen phenomenon has a special effect on the crack nucleation and growth. It can also affect the AE activity caused by a fault in a bearing when a rolling element is passing the fault and causes stress in the material. In order to evaluate the significance of an AE source and to interpret the AE signal, different parameters can be extracted from the signal. The signal waveform depends on the characteristics of the source, on the path of the signal from the source to the sensor, on the characteristics of the sensor and on the measurement system. The parameters, which will be extracted from the signal, are depending on the type of the signal. From a burst type of signal, typical extracted parameters are the duration time of the AE event, the emission counts, the emission event energy, the emission signal amplitude and the peak amplitude, the emission signal rise time or the signal decay time, see Fig. 1. Fig. 1. An AE burst signal and the characteristic parameters of the signal. If the examined AE signal is longer and contains a lot of emission bursts like the signal shown in Figure 2, one way to characterise the signal is to calculate statistical values from the time signal. These values express if the signal is peaked or not. Typical statistical values are the standard deviation of the signal, the kurtosis value of the signal, the variance value of the signal, the skewness value of the signal, the signal peak-to-peak value and the acoustic emission signal root mean square (RMS) value that describes the signal energy

4 3 content (Li, 1995). One way to characterise the signal is to count the pulses per time unit; for example pulses/second. This way to monitor the signal is very suitable for continuous measurement because the data, which is stored, contains only a fractional part of the amount of the data that is stored if the AE time signal is measured. The pulse count data is easier to handle in the industrial environment. In some studies an AE time signal area summation technique has been used (Tan, 1990). Fig. 2. A long AE time signal, which contains a lot of emission bursts. 2. Acoustic emission in the monitoring of faults of rolling bearings When the rolling element passes the fault in a bearing, it excites vibration, which can be measured by a vibration measurement sensor. The common practice is to measure the vibration displacement, velocity or acceleration. The velocity amplitude is almost independent from the vibration frequency in the range 10 Hz - 2 khz. The vibration velocity describes very well the general condition of the rotating machine. For that reason, vibration velocity measurement is the most common measurement parameter in condition monitoring of rotating machinery. At higher frequencies, the vibration displacement amplitude becomes very low but the vibration acceleration rises to a high level. For machines rotating at high speed with a rolling bearing failure at a very early stage, the measurement of the vibration acceleration is usually a more reliable indicator (Berry, 1991). The type of the spectrum, which the defective rolling bearing generates, depends on the severity of the fault. We can find out basically four types of spectrums. These spectrums can contain random ultrasonic frequencies, natural frequencies of bearing components, bearing rotational defect frequencies and sum and difference frequencies which are born when the different frequencies modulate with each other (Berry, 1991). Random ultrasonic frequencies appear typically at an early stage of the fault, and can dramatically rise just before the seizure of the bearing. The natural frequencies of the mounted bearing are utilised when vibration acceleration is measured using enveloping techniques. The main difference between the acoustic emission and the low frequency vibration is that for low frequency vibration we already need a defect in the bearing which excites the vibration when a rolling element is passing it but acoustic emission vibration is exited just when the crack is formed. Therefore, in principle, the acoustic emission should indicate damage in the bearing at a very early stage. In practice, the situation of course is not so clear. When the rolling bearing is running, the lubrication situation is not always fully flooded but very often the bearing is running under some degree of starved condition. Starved lubricated situation means metallic contacts, micro fractures, and micro plastic deformations, which all can generate acoustic emission. 2.1 Technique to measure acoustic emission The substantial difference in the AE measurement technique, compared with the low frequency measurement techniques, is in mounting the measurement sensor. Acoustic emission monitoring is nondirectional. Most AE sources appear to act as point sources. The point sources radiate energy in spherical wavefronts, and therefore the sensor can be located anywhere in the vicinity of the AE source and it can detect the acoustic emission signal. This is in contrast to other measurement methods of mechanical vibration, in which the direction of the sensor has a strong influence. The vibration measurement sensors are very insensitive in other directions than the measurement direction so as result we get the vibration in the direction of the measurement axle of the sensor.

5 4 Although the AE measurement is nondirectional, it must be taken into consideration that every boundary surface affects damping on the high frequency vibration signal. Therefore, the sensor should be located as close as possible to the expected emission source, normally on the load side of the bearing. In addition, it is very important to use a contact grease between the sensor and the fitting surface. Because the levels of the voltage in the acoustic emission measurement are very low, great care must be taken to minimise the affect of disturbances from the environment on the measurement. Strong electrical disturbances can cause, for example, magnetic fields, eddy current fields, inverters of the electrical motors and fluorescent lamps. The so called background noise, which means the acoustic emission generated for example from pressure vessels, welding, hydraulic and mechanical noise, fretting and deformations by heat expansion, can disturb the AE measurements, especially in field environments. The disturbances can affect the measurement results, they can not always be easily explained. The disturbances are especially harmful, when the rotational speed of the bearing is low and when the emission level from the bearing is low (McFadden, 1984). The background noise can affect the AE measurement in that way, that even if the signal is very clear when the rotational speed is low the signal can become ambiguous when the rotational speed and the background noise is higher (Smith, 1982). The frequency bandwidth in acoustic emission measurement is typically in the range 100 khz to 1 GHz. The sensors are generally of piezoelectric type. The difference between the normal accelerometer and the AE sensor is that AE sensor does not have any mass attached on the piezoelectric crystal. The frequency response of the AE sensor is strongly non-linear and therefore the measurement of the spectrum in the case of acoustic emission is not very suitable. In Figure 3 is a graph of a typical frequency response of an AE sensor presented (B&K, 1984). The normal way to do the measurement is to use a narrow band-pass filter which centre frequency is the same as the resonance frequency of the sensor. Fig. 3. A typical frequency response of an AE transducer (B&K type 8313). 3. An example of the acoustic emission monitoring of slowly rotating rolling bearings in the paper industry The example is from a Finnish paper plant. The AE monitoring system is installed for monitoring the support bearings of the lime sludge reburning kiln, Fig. 4 a and Fig. 4 b. The kiln is supported with six bearing pairs, total number of the bearings being 12. The rotational speed of the kiln is 8 rpm. During 10 years running there has happened over 16 bearing faults, which have caused unsystematical shutdowns and losses of production. The principle of the AE measurement in this case is continuos pulse count method. The AE sensors were of piezoelectric type and their sensitivity was highest at the frequency of about 150 khz. The lower frequencies until 100 khz are filtered out. After some time the measurement system was taken in to use the pulse count level from the bearing number 8 started to rise from its normal level. That situation is shown in Fig. 5 a. After running of 20 days the pulse count level started to rise again very strongly which is shown in Fig. 5 b. The kiln was stopped according to the normal maintenance plan and the bearing was removed. That maintenance operation did not affect any costs in the production. After the removal of the bearing the pulse count level dropped to a level about 100 pulses/300s.

6 5 a) b) Fig. 4. The lime sludge reburning kiln (a) and the supporting bearing (b). a) b) Fig. 5. The AE pulse count level of the bearing number 8 starts to rise slowly (a) and after 20 days operation the level started to rise very strongly (b). 4. The measurements in the laboratory The aim of the laboratory measurements was to test the acoustic emission measurement with extremely low rotational speed of a rolling bearing. For the sake of comparison, some low frequency vibration measurement methods were included in the measurements. These methods were the envelope spectrum method, the peak value method, the method of derivation of the acceleration signal and the time signal of vibration acceleration. 4.1 Measurement arrangement The measurements were carried out with a test rig, which is shown in Fig. 6. The type of the test bearings and the support bearings of the rig was two-row spherical roller bearing. The bearing application was the same as in a normal railway wagon. Every housing includes two bearings and one of the test bearings was damaged. The damage was followed from the normal use of the bearing and the damaged bearing was found in normal maintenance operation of the wagon bearings. The test bearing represents a typical faulted bearing in that usage. The load of the test bearings during the measurement was 70 kn per housing and it was static and pure radial. That load is the same as the maximum static load per one housing when the wagon is loaded full. The type of the grease in the test bearings was NLGI grade 1.5 lithium complex soap with synthetic base oil. The AE sensor was mounted on the bearing housing with a 150 mm long wave-guide, which was fitted with screw fastening. The AE sensor was of piezoelectric type and the signal was filtered with narrow band-pass filter which centre frequency was 150 khz or 240 khz. The methods for analyse of the AE signal were the pulse count method and the time signal of acoustic emission vibration. The pulses where counted in the unit of pulses/one second. From the time signal, the cycle time of the fault frequency of the bearing was defined when it was possible. The rotational speed in the measurements was from 0.5 rpm to 5 rpm. With low frequency measurement methods, the rotational speed was so low when the fault still could be detected.

7 6 Fig. 6. The test rig of the bearings in the laboratory. 5. Results In the results are shown the AE pulse count and the AE time signal measurements when bearing rotational speed has been 0.5 rpm, 0.85 rpm, 1.4 rpm and 5 rpm. In the end of this chapter, also some results of the measurements of low frequency vibration are shown. In generally the fault was identified in all AE measurements. In some of the cases, the background noise appeared so strongly that it was difficult to find out the cycle time of the fault. In Fig. 7 are shown the results when rotational speed was 0.5 rpm. The fault cycle time can be identified very clearly from the time signal and from the pulse count results. The background noise with that a slow rotational speed is low comparing it for example between the results when the rotational speed was 0.85 rpm, which is shown in Fig. 8. Because of the low background noise, the fault cycle time can be identified more clearly from the AE time signal measurement when the rotational speed was 0.5 rpm than 0.85 rpm. The time of the pulse count measurement is much longer than the time of the AE time signal measurement. From the long-time pulse count results it is possible to find out time intervals where the cycle time of the fault can be easily identified despite of the background noise, which can be seen from Fig. 8. AE pulse count AE time signal Fig. 7. The AE pulse count and the AE time signal results with a rotational speed of 0.5 rpm. AE pulse count AE time signal Fig. 8. The AE pulse count and the AE time signal results with a rotational speed of 0.85 rpm.

8 7 In Fig. 9 the AE pulse count and time signal results when rotational speed was 1.4 rpm are presented. The background noise in these measurements was so high that it was a little bit difficult to find out the cycle time of the fault frequency from the AE time signal. The background noise disturbed also the pulse count measurement and therefore the cycle time could not be identified as well as in that case when the rotational seed was lower, which is shown in Fig. 7. AE pulse count AE time signal Fig. 9. The AE pulse count and the AE time signal results with a rotational speed of 1.4 rpm. In Fig. 10 the AE pulse count and time signal results when rotational speed was 5 rpm are presented. In this measurement, the emission from the fault is so strong that the background noise does not disturb the measurement. The cycle time of the fault frequency can be identified very clearly from the time signal. The AE pulse count was measured in the unit pulses/one second. When the cycle time of the fault frequency approaches the time interval of the pulse count measurement, the cycle time of the fault can not be anymore identified from the pulse count results. This is shown in Fig. 10. In the pulse count result the cycle time of the rotation of the shaft can be seen very clearly but the cycle time of the fault frequency can not be identified. AE pulse count AE time signal Fig. 10. The AE pulse count and the AE time signal results with a rotational speed of 5 rpm. The character of the AE emission depends for example on the size and on the shape of the fault on the rolling surface. In Fig. 11 is shown one AE pulse cluster, which has been taken from the result of the time signal measurement shown in Fig. 10. From the fault in the bearing, a pulse cluster is generated, which in this case consists of eight short-duration AE bursts. This kind of pulse cluster has a different shape than for example the acceleration signal in the low frequency area generated from the same fault. Fig. 11. The AE pulse cluster from the fault in the bearing.

9 8 That is one difficulty in the pulse count technique or for example in the peak value technique in analyses of the AE signal. If the cycle time of the fault is short, it may be difficult to find out an adequate time interval for the measurement so that the different clusters will not be mixed together in the measurement. That makes it difficult to identify the passing frequency of the fault. One possibility in this case is to follow the AE pulse count overall level or the AE activity RMS value. 5.1 Results of the low frequency measurement The same damaged bearing was measured also with the low frequency measurement methods. The methods, which were included in the measurements, were the envelope spectrum method, the peak value method, and the method of derivation of the acceleration signal and the pure time signal of acceleration. Some view of the suitability of the low frequency measurement methods in this case is shown in Fig. 12. In these measurements, the most sensitive low frequency measurement method was the envelope based spectrum measurement method. In Fig. 12 methods have been arranged based on the property of detecting the fault from the spectrum and from the time signal. The grades have been estimated. Envelope method was scored as a highest, because it could detect the fault in a lowest rotational speed. The limit of the rotational speed when the fault was detected was with envelope method 10 rpm and with the other methods 20 rpm. Fig. 12. The suitability of low frequency measurement methods to detect the fault in the bearing. The methods are arranged based on the property of detecting the fault from the spectrum and from the time signal. The grades have been estimated. Envelope method was scored as a highest, because it could detect the fault in a lowest rotational speed. Conclusions The acoustic emission measurement has been tested to detect the fault of a rolling bearing, which is rotating with extremely slowly rotational speed. The rotational speed in the measurements has been from 0.5 rpm to 5 rpm. The study denoted that the acoustic emission measurement is a very sensitive method to detect the fault in a bearing which is rotating with an extremely slowly rotational speed. With the AE method, the fault in the bearing could be identified with the slowest rotational speed, which was used in the measurements. With the lowest speed the fault was clearly identified from the AE time signal and from the results of the AE pulse count method. The voltage levels in the AE measurements are very low therefore, the influence of the external disturbances on the measurement must be taken in the consideration. The external disturbances can be caused by other emission sources than from the rotation of the bearing. In addition, the high rotational speed can cause background noise, which can make it difficult to identify the cycle time of the fault frequency. The pulse count method is convenient principle for monitoring the rolling bearing when the rotational speed is extremely slow. The measurement time in pulse count is long, very often continuous. From those long time measurement results, it is possible to find out time intervals of that kind from where the cycle time of the fault frequency can be clearly identified. The pulse count method has also the advantage that the size of

10 9 the measurement file stays reasonable. Instead, in the measurement of the AE time signal the data file can grow up so large that it is troublesome to process. When the rotational speed was higher, the cycle time of the bearing fault frequency could be identified best from AE time signal. With higher rotational speed, the collision of the rolling element on the fault creates so high emission energy that the background noise does not disturb the identification of the cycle time of the fault. The measurement time interval in the pulse count method is limiting its use in identifying the fault cycle time when the rotational speed is high. The character of the AE emission is depending for example on the size and on the shape of the fault on the rolling surface. When the rolling element passes the fault it builds up an emission burst cluster. In this case, it is difficult to choice the right time interval for pulse count method and it is possible that the different emission clusters are mixed together. The measurements were carried out also with low frequency measurement methods. The limit of the rotational speed when the fault still could be reliable identified with those methods was between 10 rpm and 20 rpm. Acknowledgements This study is a part of the Finnish project Condition Monitoring of Grease Lubricated Rolling Bearings" which is included in the international COST 516 GRIT research programme. The authors are grateful for the financial and technical support from the following companies and institutions: The Technology Development Centre of Finland (Tekes), SKF Engineering & Research Centre B.V. in The Netherlands, the Finnish companies Mobil Oil oy ab, Rautaruukki Steel, VR Ltd., Acutest Oy and the Finnish Maintenance Society. References Beattie, A G (1983) Acoustic emission, principles and instrumentation. Journal of Acoustic Emission, Volume 2, Number 1/2, pp Berry, James E (1991) How to track rolling element bearing health with vibration signature analysis. Sound and Vibration, November, pp Brüel & Kjær (B&K)(1984) Instruction Manual. Acoustic Emission Transducers and Preamplifiers. Revision March p. Li, C James, Li, S Y (1995) Acoustic emission analysis for bearing condition monitoring. Wear 185, pp McFadden, P D, Smith, J D (1984) Acoustic emission transducers for the vibration monitoring of bearings at low speeds. Proceedings of the Institution of Mechanical Engineers, Part C, Vol 198 No 8, pp Miller, R K, (Technical Editor), McIntire, P (Editor) (1987) Nondestructive Testing Handbook. Volume 5: Acoustic Emission Testing. American Society for Nondestructive Testing. 603 p. ISBN Smith, J D (1982) Vibration monitoring of bearings at low speeds. Tribology International, Volume 15, Number 3, June, pp Tan, C C (1990) Application of Acoustic Emission to the Detection of Bearing Failures. Proceeding of the Tribology Conference, Brisbane 3-5 December The Institution of Engineers Australia, pp Tandon, N and Nakra, B C (1990) Defect Detection in Rolling Element Bearings by Acoustic Emission Method. Journal of Acoustic Emission. Volume 9 Number 1, pp

VIBRATION MONITORING OF VERY SLOW SPEED THRUST BALL BEARINGS

VIBRATION MONITORING OF VERY SLOW SPEED THRUST BALL BEARINGS VIBRATION MONITORING OF VERY SLOW SPEED THRUST BALL BEARINGS Vipul M. Patel and Naresh Tandon ITMME Centre, Indian Institute of Technology, Hauz Khas, New Delhi 110016, India e-mail: ntandon@itmmec.iitd.ernet.in

More information

STUDY ON IDENTIFICATION OF FAULT ON OUTER RACE OF ROLLER BEARING USING ACOUSTIC EMISSION

STUDY ON IDENTIFICATION OF FAULT ON OUTER RACE OF ROLLER BEARING USING ACOUSTIC EMISSION STUDY ON IDENTIFICATION OF FAULT ON OUTER RACE OF ROLLER BEARING USING ACOUSTIC EMISSION Avinash V. Patil and Dr. Bimlesh Kumar 2 Faculty of Mechanical Engg.Dept., S.S.G.B.C.O.E.&T.,Bhusawal,Maharashtra,India

More information

STUDY OF FAULT DIAGNOSIS ON INNER SURFACE OF OUTER RACE OF ROLLER BEARING USING ACOUSTIC EMISSION

STUDY OF FAULT DIAGNOSIS ON INNER SURFACE OF OUTER RACE OF ROLLER BEARING USING ACOUSTIC EMISSION STUDY OF FAULT DIAGNOSIS ON INNER SURFACE OF OUTER RACE OF ROLLER BEARING USING ACOUSTIC EMISSION Avinash V. Patil, Dr. Bimlesh Kumar 2 Faculty of Mechanical Engg.Dept., S.S.G.B.C.O.E.&T.,Bhusawal,Maharashtra,India

More information

Wavelet Transform for Bearing Faults Diagnosis

Wavelet Transform for Bearing Faults Diagnosis Wavelet Transform for Bearing Faults Diagnosis H. Bendjama and S. Bouhouche Welding and NDT research centre (CSC) Cheraga, Algeria hocine_bendjama@yahoo.fr A.k. Moussaoui Laboratory of electrical engineering

More information

Bearing Condition Monitoring with Acoustic Emission Techniques

Bearing Condition Monitoring with Acoustic Emission Techniques Bearing Condition Monitoring with Acoustic Emission Techniques Faisal AlShammari, Abdulmajid Addali Abstract Monitoring the conditions of rotating machinery, such as bearings, is important in order to

More information

CHAPTER 3 DEFECT IDENTIFICATION OF BEARINGS USING VIBRATION SIGNATURES

CHAPTER 3 DEFECT IDENTIFICATION OF BEARINGS USING VIBRATION SIGNATURES 33 CHAPTER 3 DEFECT IDENTIFICATION OF BEARINGS USING VIBRATION SIGNATURES 3.1 TYPES OF ROLLING ELEMENT BEARING DEFECTS Bearings are normally classified into two major categories, viz., rotating inner race

More information

Distortion in acoustic emission and acceleration signals caused by frequency converters

Distortion in acoustic emission and acceleration signals caused by frequency converters Distortion in acoustic emission and acceleration signals caused by frequency converters Sulo Lahdelma, Konsta Karioja and Jouni Laurila Mechatronics and Machine Diagnostics Laboratory, Department of Mechanical

More information

SEPARATING GEAR AND BEARING SIGNALS FOR BEARING FAULT DETECTION. Wenyi Wang

SEPARATING GEAR AND BEARING SIGNALS FOR BEARING FAULT DETECTION. Wenyi Wang ICSV14 Cairns Australia 9-12 July, 27 SEPARATING GEAR AND BEARING SIGNALS FOR BEARING FAULT DETECTION Wenyi Wang Air Vehicles Division Defence Science and Technology Organisation (DSTO) Fishermans Bend,

More information

Acoustic Emission as a Basis for the Condition Monitoring of Industrial Machinery

Acoustic Emission as a Basis for the Condition Monitoring of Industrial Machinery Acoustic Emission as a Basis for the Condition Monitoring of Industrial Machinery Trevor J. Holroyd (PhD BSc FInstNDT) - Holroyd Instruments Ltd., Matlock, DE4 2AJ, UK 1. INTRODUCTION In the context of

More information

Acoustic Emission Basic Process and Definition

Acoustic Emission Basic Process and Definition Acoustic Emission Basic Process and Definition Words from the Definition:... transient... elastic... waves... rapid... localized... source M2 Many Processes Produce Acoustic Emission Problem or Solution?»

More information

An Improved Method for Bearing Faults diagnosis

An Improved Method for Bearing Faults diagnosis An Improved Method for Bearing Faults diagnosis Adel.boudiaf, S.Taleb, D.Idiou,S.Ziani,R. Boulkroune Welding and NDT Research, Centre (CSC) BP64 CHERAGA-ALGERIA Email: a.boudiaf@csc.dz A.k.Moussaoui,Z

More information

Vibration Analysis of deep groove ball bearing using Finite Element Analysis

Vibration Analysis of deep groove ball bearing using Finite Element Analysis RESEARCH ARTICLE OPEN ACCESS Vibration Analysis of deep groove ball bearing using Finite Element Analysis Mr. Shaha Rohit D*, Prof. S. S. Kulkarni** *(Dept. of Mechanical Engg.SKN SCOE, Korti-Pandharpur,

More information

Prediction of Defects in Antifriction Bearings using Vibration Signal Analysis

Prediction of Defects in Antifriction Bearings using Vibration Signal Analysis Prediction of Defects in Antifriction Bearings using Vibration Signal Analysis M Amarnath, Non-member R Shrinidhi, Non-member A Ramachandra, Member S B Kandagal, Member Antifriction bearing failure is

More information

Acceleration Enveloping Higher Sensitivity, Earlier Detection

Acceleration Enveloping Higher Sensitivity, Earlier Detection Acceleration Enveloping Higher Sensitivity, Earlier Detection Nathan Weller Senior Engineer GE Energy e-mail: nathan.weller@ps.ge.com Enveloping is a tool that can give more information about the life

More information

Bearing fault detection of wind turbine using vibration and SPM

Bearing fault detection of wind turbine using vibration and SPM Bearing fault detection of wind turbine using vibration and SPM Ruifeng Yang 1, Jianshe Kang 2 Mechanical Engineering College, Shijiazhuang, China 1 Corresponding author E-mail: 1 rfyangphm@163.com, 2

More information

A train bearing fault detection and diagnosis using acoustic emission

A train bearing fault detection and diagnosis using acoustic emission Engineering Solid Mechanics 4 (2016) 63-68 Contents lists available at GrowingScience Engineering Solid Mechanics homepage: www.growingscience.com/esm A train bearing fault detection and diagnosis using

More information

Machinery Fault Diagnosis

Machinery Fault Diagnosis Machinery Fault Diagnosis A basic guide to understanding vibration analysis for machinery diagnosis. 1 Preface This is a basic guide to understand vibration analysis for machinery diagnosis. In practice,

More information

Condition Monitoring of Induction Motor Ball Bearing Using Monitoring Techniques

Condition Monitoring of Induction Motor Ball Bearing Using Monitoring Techniques International Journal of Scientific and Research Publications, Volume 2, Issue 11, November 2012 1 Condition Monitoring of Induction Motor Ball Bearing Using Monitoring Techniques B.Hulugappa *, Tajmul

More information

The Four Stages of Bearing Failures

The Four Stages of Bearing Failures The Four Stages of Bearing Failures Within the vibration community, it is commonly accepted to describe a spalling process in a bearing in four stages; from the first microscopic sign to a severely damaged

More information

PeakVue Analysis for Antifriction Bearing Fault Detection

PeakVue Analysis for Antifriction Bearing Fault Detection Machinery Health PeakVue Analysis for Antifriction Bearing Fault Detection Peak values (PeakVue) are observed over sequential discrete time intervals, captured, and analyzed. The analyses are the (a) peak

More information

CONDITION MONITORING OF THRUST BALL BEARINGS USING CONTINUOUS AE

CONDITION MONITORING OF THRUST BALL BEARINGS USING CONTINUOUS AE Czech Society for Nondestructive Testing 32 nd European Conference on Acoustic Emission Testing Prague, Czech Republic, September 07-09, 2016 CONDITION MONITORING OF THRUST BALL BEARINGS USING CONTINUOUS

More information

CASE STUDY: Roller Mill Gearbox. James C. Robinson. CSI, an Emerson Process Management Co. Lal Perera Insight Engineering Services, LTD.

CASE STUDY: Roller Mill Gearbox. James C. Robinson. CSI, an Emerson Process Management Co. Lal Perera Insight Engineering Services, LTD. CASE STUDY: Roller Mill Gearbox James C. Robinson CSI, an Emerson Process Management Co. Lal Perera Insight Engineering Services, LTD. ABSTRACT Stress Wave Analysis on a roller will gearbox employing the

More information

A NEW APPROACH FOR THE ANALYSIS OF IMPACT-ECHO DATA

A NEW APPROACH FOR THE ANALYSIS OF IMPACT-ECHO DATA A NEW APPROACH FOR THE ANALYSIS OF IMPACT-ECHO DATA John S. Popovics and Joseph L. Rose Department of Engineering Science and Mechanics The Pennsylvania State University University Park, PA 16802 INTRODUCTION

More information

THEORETICAL AND EXPERIMENTAL STUDIES ON VIBRATIONS PRODUCED BY DEFECTS IN DOUBLE ROW BALL BEARING USING RESPONSE SURFACE METHOD

THEORETICAL AND EXPERIMENTAL STUDIES ON VIBRATIONS PRODUCED BY DEFECTS IN DOUBLE ROW BALL BEARING USING RESPONSE SURFACE METHOD IJRET: International Journal of Research in Engineering and Technology eissn: 9-6 pissn: -708 THEORETICAL AND EXPERIMENTAL STUDIES ON VIBRATIONS PRODUCED BY DEFECTS IN DOUBLE ROW BALL BEARING USING RESPONSE

More information

Analysis of Deep-Groove Ball Bearing using Vibrational Parameters

Analysis of Deep-Groove Ball Bearing using Vibrational Parameters Analysis of Deep-Groove Ball Bearing using Vibrational Parameters Dhanush N 1, Dinesh G 1, Perumal V 1, Mohammed Salman R 1, Nafeez Ahmed.L 2 U.G Student, Department of Mechanical Engineering, Gojan School

More information

VIBROACOUSTIC MEASURMENT FOR BEARING FAULT DETECTION ON HIGH SPEED TRAINS

VIBROACOUSTIC MEASURMENT FOR BEARING FAULT DETECTION ON HIGH SPEED TRAINS VIBROACOUSTIC MEASURMENT FOR BEARING FAULT DETECTION ON HIGH SPEED TRAINS S. BELLAJ (1), A.POUZET (2), C.MELLET (3), R.VIONNET (4), D.CHAVANCE (5) (1) SNCF, Test Department, 21 Avenue du Président Salvador

More information

Condition based monitoring: an overview

Condition based monitoring: an overview Condition based monitoring: an overview Acceleration Time Amplitude Emiliano Mucchi Universityof Ferrara Italy emiliano.mucchi@unife.it Maintenance. an efficient way to assure a satisfactory level of reliability

More information

Also, side banding at felt speed with high resolution data acquisition was verified.

Also, side banding at felt speed with high resolution data acquisition was verified. PEAKVUE SUMMARY PeakVue (also known as peak value) can be used to detect short duration higher frequency waves stress waves, which are created when metal is impacted or relieved of residual stress through

More information

Acoustic emission signal attenuation in the waveguides used in underwater AE testing.

Acoustic emission signal attenuation in the waveguides used in underwater AE testing. 1 Acoustic emission signal attenuation in the waveguides used in underwater AE testing. Zakharov D.A., Ptichkov S.N., Shemyakin V.V. OAO «ОКBM Afrikantov», «Diapac» Ltd. In the paper presented are the

More information

Detectability of kissing bonds using the non-linear high frequency transmission technique

Detectability of kissing bonds using the non-linear high frequency transmission technique 17th World Conference on Nondestructive Testing, 25-28 Oct 28, Shanghai, China Detectability of kissing bonds using the non-linear high frequency transmission technique Dawei YAN 1, Bruce W. DRINKWATER

More information

Wavelet analysis to detect fault in Clutch release bearing

Wavelet analysis to detect fault in Clutch release bearing Wavelet analysis to detect fault in Clutch release bearing Gaurav Joshi 1, Akhilesh Lodwal 2 1 ME Scholar, Institute of Engineering & Technology, DAVV, Indore, M. P., India 2 Assistant Professor, Dept.

More information

Prediction of Defects in Roller Bearings Using Vibration Signal Analysis

Prediction of Defects in Roller Bearings Using Vibration Signal Analysis World Applied Sciences Journal 4 (1): 150-154, 2008 ISSN 1818-4952 IDOSI Publications, 2008 Prediction of Defects in Roller Bearings Using Vibration Signal Analysis H. Mohamadi Monavar, H. Ahmadi and S.S.

More information

DETECTION THE CONDITION OF A FAN TRANSMISSION IN METAL SMELTER FENI KAVADARCI USING VIBRATION SIGNATURE

DETECTION THE CONDITION OF A FAN TRANSMISSION IN METAL SMELTER FENI KAVADARCI USING VIBRATION SIGNATURE DETECTION THE CONDITION OF A FAN TRANSMISSION IN METAL SMELTER FENI KAVADARCI USING VIBRATION SIGNATURE Prof. Geramitchioski T. PhD. 1, Doc.Trajcevski Lj. PhD. 1, Prof. Mitrevski V. PhD. 1, Doc.Vilos I.

More information

DATA ANALYSIS FOR VALVE LEAK DETECTION OF NUCLEAR POWER PLANT SAFETY CRITICAL COMPONENTS

DATA ANALYSIS FOR VALVE LEAK DETECTION OF NUCLEAR POWER PLANT SAFETY CRITICAL COMPONENTS DATA ANALYSIS FOR VALVE LEAK DETECTION OF NUCLEAR POWER PLANT SAFETY CRITICAL COMPONENTS Jung-Taek Kim, Hyeonmin Kim, Wan Man Park Korea Atomic Energy Research Institute 145 Daedeok-daero, Yuseong-gu,

More information

Principles of Vibration Measurement and Analysis. Dr. Colin Novak, P.Eng July 29, 2015

Principles of Vibration Measurement and Analysis. Dr. Colin Novak, P.Eng July 29, 2015 Principles of Vibration Measurement and Analysis Dr. Colin Novak, P.Eng. 92-315 July 29, 2015 Vibration Transducers and Signal Conditioning Types of Vibration Transducers The Piezoelectric Accelerometer

More information

Investigation of wide band Fiber Bragg grating accelerometer use for rotating AC machinery condition monitoring

Investigation of wide band Fiber Bragg grating accelerometer use for rotating AC machinery condition monitoring Investigation of wide band Fiber Bragg grating accelerometer use for rotating AC machinery condition monitoring Sinisa Djurovic a, Peter Kung b et al. a School of Electrical and Electronic Engineering,

More information

DETECTION THE CONDITION OF A FAN TRANSMISSION IN METAL SMELTER FENI KAVADARCI USING VIBRATION SIGNATURE

DETECTION THE CONDITION OF A FAN TRANSMISSION IN METAL SMELTER FENI KAVADARCI USING VIBRATION SIGNATURE DETECTION THE CONDITION OF A FAN TRANSMISSION IN METAL SMELTER FENI KAVADARCI USING VIBRATION SIGNATURE Prof. Geramitchioski T. PhD. 1, Doc.Trajcevski Lj. PhD. 1, Prof. Mitrevski V. PhD. 1, Doc.Vilos I.

More information

A simulation of vibration analysis of crankshaft

A simulation of vibration analysis of crankshaft RESEARCH ARTICLE OPEN ACCESS A simulation of vibration analysis of crankshaft Abhishek Sharma 1, Vikas Sharma 2, Ram Bihari Sharma 2 1 Rustam ji Institute of technology, Gwalior 2 Indian Institute of technology,

More information

High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification

High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification Z. M. Hafizi, C.K.E. Nizwan, M.F.A. Reza & M.A.A. Johari Faculty of Mechanical Engineering, Universiti Malaysia

More information

ISO INTERNATIONAL STANDARD. Non-destructive testing Acoustic emission inspection Secondary calibration of acoustic emission sensors

ISO INTERNATIONAL STANDARD. Non-destructive testing Acoustic emission inspection Secondary calibration of acoustic emission sensors INTERNATIONAL STANDARD ISO 12714 First edition 1999-07-15 Non-destructive testing Acoustic emission inspection Secondary calibration of acoustic emission sensors Essais non destructifs Contrôle par émission

More information

VIBRATION ANALYZER. Vibration Analyzer VA-12

VIBRATION ANALYZER. Vibration Analyzer VA-12 VIBRATION ANALYZER Vibration Analyzer VA-12 Portable vibration analyzer for Equipment Diagnosis and On-site Measurements Vibration Meter VA-12 With FFT analysis function Piezoelectric Accelerometer PV-57with

More information

Vibration Based Blind Identification of Bearing Failures in Rotating Machinery

Vibration Based Blind Identification of Bearing Failures in Rotating Machinery Vibration Based Blind Identification of Bearing Failures in Rotating Machinery Rohit Gopalkrishna Sorte 1, Pardeshi Ram 2 Department of Mechanical Engineering, Mewar University, Gangrar, Rajasthan Abstract:

More information

VOLD-KALMAN ORDER TRACKING FILTERING IN ROTATING MACHINERY

VOLD-KALMAN ORDER TRACKING FILTERING IN ROTATING MACHINERY TŮMA, J. GEARBOX NOISE AND VIBRATION TESTING. IN 5 TH SCHOOL ON NOISE AND VIBRATION CONTROL METHODS, KRYNICA, POLAND. 1 ST ED. KRAKOW : AGH, MAY 23-26, 2001. PP. 143-146. ISBN 80-7099-510-6. VOLD-KALMAN

More information

APPLICATION NOTE. Detecting Faulty Rolling Element Bearings. Faulty rolling-element bearings can be detected before breakdown.

APPLICATION NOTE. Detecting Faulty Rolling Element Bearings. Faulty rolling-element bearings can be detected before breakdown. APPLICATION NOTE Detecting Faulty Rolling Element Bearings Faulty rolling-element bearings can be detected before breakdown. The simplest way to detect such faults is to regularly measure the overall vibration

More information

A Mathematical Model to Determine Sensitivity of Vibration Signals for Localized Defects and to Find Effective Number of Balls in Ball Bearing

A Mathematical Model to Determine Sensitivity of Vibration Signals for Localized Defects and to Find Effective Number of Balls in Ball Bearing A Mathematical Model to Determine Sensitivity of Vibration Signals for Localized Defects and to Find Effective Number of Balls in Ball Bearing Vikram V. Nagale a and M. S. Kirkire b Department of Mechanical

More information

Presented By: Michael Miller RE Mason

Presented By: Michael Miller RE Mason Presented By: Michael Miller RE Mason Operational Challenges of Today Our target is zero unplanned downtime Maximize Equipment Availability & Reliability Plan ALL Maintenance HOW? We are trying to be competitive

More information

Introduction*to*Machinery*Vibration*Sheet*Answer* Chapter*1:*Vibrations*Sources*and*Uses*

Introduction*to*Machinery*Vibration*Sheet*Answer* Chapter*1:*Vibrations*Sources*and*Uses* IntroductiontoMachineryVibrationSheetAnswer Chapter1:VibrationsSourcesandUses 1. 1. imposed motions related to the function - e.g. slider crank and earn 2. inadequate design - e.g. resonance 3. manufacturing

More information

Practical Machinery Vibration Analysis and Predictive Maintenance

Practical Machinery Vibration Analysis and Predictive Maintenance Practical Machinery Vibration Analysis and Predictive Maintenance By Steve Mackay Dean of Engineering Engineering Institute of Technology EIT Micro-Course Series Every two weeks we present a 35 to 45 minute

More information

Spall size estimation in bearing races based on vibration analysis

Spall size estimation in bearing races based on vibration analysis Spall size estimation in bearing races based on vibration analysis G. Kogan 1, E. Madar 2, R. Klein 3 and J. Bortman 4 1,2,4 Pearlstone Center for Aeronautical Engineering Studies and Laboratory for Mechanical

More information

Review on Fault Identification and Diagnosis of Gear Pair by Experimental Vibration Analysis

Review on Fault Identification and Diagnosis of Gear Pair by Experimental Vibration Analysis Review on Fault Identification and Diagnosis of Gear Pair by Experimental Vibration Analysis 1 Ajanalkar S. S., 2 Prof. Shrigandhi G. D. 1 Post Graduate Student, 2 Assistant Professor Mechanical Engineering

More information

High Frequency Vibration Analysis

High Frequency Vibration Analysis AMS 2140 High Frequency Vibration Analysis The emphasis in this paper is the capture and analysis of stress waves introduced into rotating machinery by events such as impacting, fatiguing, and friction.

More information

Monitoring of Deep Groove Ball Bearing Defects Using the Acoustic Emission Technology

Monitoring of Deep Groove Ball Bearing Defects Using the Acoustic Emission Technology International Journal of Sciences: Basic and Applied Research (IJSBAR) ISSN 2307-4531 (Print & Online) http://gssrr.org/index.php?journal=journalofbasicandapplied ---------------------------------------------------------------------------------------------------------------------------

More information

Bearing Fault Diagnosis

Bearing Fault Diagnosis Quick facts Bearing Fault Diagnosis Rolling element bearings keep our machines turning - or at least that is what we expect them to do - the sad reality however is that only 10% of rolling element bearings

More information

Vibration and Current Monitoring for Fault s Diagnosis of Induction Motors

Vibration and Current Monitoring for Fault s Diagnosis of Induction Motors Vibration and Current Monitoring for Fault s Diagnosis of Induction Motors Mariana IORGULESCU, Robert BELOIU University of Pitesti, Electrical Engineering Departament, Pitesti, ROMANIA iorgulescumariana@mail.com

More information

Implementation of electromagnetic acoustic resonance in pipe inspection

Implementation of electromagnetic acoustic resonance in pipe inspection E-Journal of Advanced Maintenance Vol.5-1(2013) 25-33 Implementation of electromagnetic acoustic resonance in pipe inspection Ryoichi URAYAMA 1 Toshiyuki TAKAGI 1,*, Tetsuya UCHIMOTO 1, Shigeru KANEMOTO

More information

Acoustic Emission Monitoring of Mechanical Seals. Using MUSIC Algorithm based on Higher Order Statistics. Yibo Fan, Fengshou Gu, Andrew Ball

Acoustic Emission Monitoring of Mechanical Seals. Using MUSIC Algorithm based on Higher Order Statistics. Yibo Fan, Fengshou Gu, Andrew Ball Acoustic Emission Monitoring of Mechanical Seals Using MUSI Algorithm based on Higher Order Statistics Yibo Fan, Fengshou Gu, Andrew Ball School of omputing and Engineering, The University of Huddersfield,

More information

Fault Detection of Double Stage Helical Gearbox using Vibration Analysis Techniques

Fault Detection of Double Stage Helical Gearbox using Vibration Analysis Techniques IJSRD - International Journal for Scientific Research & Development Vol. 4, Issue 08, 2016 ISSN (online): 2321-0613 Fault Detection of Double Stage Helical Gearbox using Vibration Analysis Techniques D.

More information

Overall vibration, severity levels and crest factor plus

Overall vibration, severity levels and crest factor plus Overall vibration, severity levels and crest factor plus By Dr. George Zusman, Director of Product Development, PCB Piezotronics and Glenn Gardner, Business Unit Manager, Fluke Corporation White Paper

More information

FAULT DIAGNOSIS OF SINGLE STAGE SPUR GEARBOX USING NARROW BAND DEMODULATION TECHNIQUE: EFFECT OF SPALLING

FAULT DIAGNOSIS OF SINGLE STAGE SPUR GEARBOX USING NARROW BAND DEMODULATION TECHNIQUE: EFFECT OF SPALLING IMPACT: International Journal of Research in Engineering & Technology (IMPACT: IJRET) Vol. 1, Issue 3, Aug 2013, 11-16 Impact Journals FAULT DIAGNOSIS OF SINGLE STAGE SPUR GEARBOX USING NARROW BAND DEMODULATION

More information

CHAPTER 3 THE DESIGN OF TRANSMISSION LOSS SUITE AND EXPERIMENTAL DETAILS

CHAPTER 3 THE DESIGN OF TRANSMISSION LOSS SUITE AND EXPERIMENTAL DETAILS 35 CHAPTER 3 THE DESIGN OF TRANSMISSION LOSS SUITE AND EXPERIMENTAL DETAILS 3.1 INTRODUCTION This chapter deals with the details of the design and construction of transmission loss suite, measurement details

More information

Acoustic emission based double impulses characteristic extraction of hybrid ceramic ball bearing with spalling on outer race

Acoustic emission based double impulses characteristic extraction of hybrid ceramic ball bearing with spalling on outer race Acoustic emission based double impulses characteristic extraction of hybrid ceramic ball bearing with spalling on outer race Yu Guo 1, Tangfeng Yang 1,2, Shoubao Sun 1, Xing Wu 1, Jing Na 1 1 Faculty of

More information

Envelope Analysis. By Jaafar Alsalaet College of Engineering University of Basrah 2012

Envelope Analysis. By Jaafar Alsalaet College of Engineering University of Basrah 2012 Envelope Analysis By Jaafar Alsalaet College of Engineering University of Basrah 2012 1. Introduction Envelope detection aims to identify the presence of repetitive pulses (short duration impacts) occurring

More information

Development of Acoustic Emission Technology for Condition. Monitoring and Diagnosis of Rotating Machines; Bearings, Pumps,

Development of Acoustic Emission Technology for Condition. Monitoring and Diagnosis of Rotating Machines; Bearings, Pumps, Development of Acoustic Emission Technology for Condition Monitoring and Diagnosis of Rotating Machines; Bearings, Pumps, Gearboxes, Engines and Rotating Structures D. Mba 1 & Raj B.K.N. Rao 2 1 School

More information

DIAGNOSIS OF BEARING FAULTS IN COMPLEX MACHINERY USING SPATIAL DISTRIBUTION OF SENSORS AND FOURIER TRANSFORMS

DIAGNOSIS OF BEARING FAULTS IN COMPLEX MACHINERY USING SPATIAL DISTRIBUTION OF SENSORS AND FOURIER TRANSFORMS Proceedings IRF2018: 6th International Conference Integrity-Reliability-Failure Lisbon/Portugal 22-26 July 2018. Editors J.F. Silva Gomes and S.A. Meguid Publ. INEGI/FEUP (2018); ISBN: 978-989-20-8313-1

More information

Enhanced Fault Detection of Rolling Element Bearing Based on Cepstrum Editing and Stochastic Resonance

Enhanced Fault Detection of Rolling Element Bearing Based on Cepstrum Editing and Stochastic Resonance Journal of Physics: Conference Series Enhanced Fault Detection of Rolling Element Bearing Based on Cepstrum Editing and Stochastic Resonance To cite this article: Xiaofei Zhang et al 2012 J. Phys.: Conf.

More information

ACOUSTIC AND ELECTROMAGNETIC EMISSION FROM CRACK CREATED IN ROCK SAMPLE UNDER DEFORMATION

ACOUSTIC AND ELECTROMAGNETIC EMISSION FROM CRACK CREATED IN ROCK SAMPLE UNDER DEFORMATION ACOUSTIC AND ELECTROMAGNETIC EMISSION FROM CRACK CREATED IN ROCK SAMPLE UNDER DEFORMATION YASUHIKO MORI 1, YOSHIHIKO OBATA 1 and JOSEF SIKULA 2 1) College of Industrial Technology, Nihon University, Izumi

More information

Current based Normalized Triple Covariance as a bearings diagnostic feature in induction motor

Current based Normalized Triple Covariance as a bearings diagnostic feature in induction motor 19 th World Conference on Non-Destructive Testing 2016 Current based Normalized Triple Covariance as a bearings diagnostic feature in induction motor Leon SWEDROWSKI 1, Tomasz CISZEWSKI 1, Len GELMAN 2

More information

Vibration analysis for fault diagnosis of rolling element bearings. Ebrahim Ebrahimi

Vibration analysis for fault diagnosis of rolling element bearings. Ebrahim Ebrahimi Vibration analysis for fault diagnosis of rolling element bearings Ebrahim Ebrahimi Department of Mechanical Engineering of Agricultural Machinery, Faculty of Engineering, Islamic Azad University, Kermanshah

More information

Part 1: Fundamentals

Part 1: Fundamentals Provläsningsexemplar / Preview INTERNATIONAL STANDARD ISO 15242-1 Second edition 2015-12-15 Rolling bearings Measuring methods for vibration Part 1: Fundamentals Roulements Méthodes de mesurage des vibrations

More information

Chapter 5. Signal Analysis. 5.1 Denoising fiber optic sensor signal

Chapter 5. Signal Analysis. 5.1 Denoising fiber optic sensor signal Chapter 5 Signal Analysis 5.1 Denoising fiber optic sensor signal We first perform wavelet-based denoising on fiber optic sensor signals. Examine the fiber optic signal data (see Appendix B). Across all

More information

Appearance of wear particles. Time. Figure 1 Lead times to failure offered by various conventional CM techniques.

Appearance of wear particles. Time. Figure 1 Lead times to failure offered by various conventional CM techniques. Vibration Monitoring: Abstract An earlier article by the same authors, published in the July 2013 issue, described the development of a condition monitoring system for the machinery in a coal workshop

More information

NEW APPROACH TO ACOUSTIC EMISSION TESTING METALLIC PRESSURE VESSELS

NEW APPROACH TO ACOUSTIC EMISSION TESTING METALLIC PRESSURE VESSELS NEW APPROACH TO ACOUSTIC EMISSION TESTING OF METALLIC PRESSURE VESSELS 11th European Pressure Equipment Conference Munich 01 07 2015 ANVIXED sarl copyright 2015 1 Aim of the presentation: tti Review the

More information

Studying the Effect of Cracks on the Ultrasonic Wave Propagation in a Two Dimensional Gearbox Finite Element Model

Studying the Effect of Cracks on the Ultrasonic Wave Propagation in a Two Dimensional Gearbox Finite Element Model Studying the Effect of Cracks on the Ultrasonic Wave Propagation in a Two Dimensional Gearbox Finite Element Model Didem Ozevin 1, Hossein Fazel 1, Justin Cox 2, William Hardman 2, Seth S Kessler 3 and

More information

University of Huddersfield Repository

University of Huddersfield Repository University of Huddersfield Repository Ball, Andrew, Wang, Tian T., Tian, X. and Gu, Fengshou A robust detector for rolling element bearing condition monitoring based on the modulation signal bispectrum,

More information

Shaft Vibration Monitoring System for Rotating Machinery

Shaft Vibration Monitoring System for Rotating Machinery 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control Shaft Vibration Monitoring System for Rotating Machinery Zhang Guanglin School of Automation department,

More information

Simultaneous use of Acoustic Emission Signals and Statistical Analysis to Distinguish between Lubrication Modes in Rolling Element Bearings

Simultaneous use of Acoustic Emission Signals and Statistical Analysis to Distinguish between Lubrication Modes in Rolling Element Bearings Int J Advanced Design and Manufacturing Technology, Vol. 11/ No. 4/ December 2018 81 Simultaneous use of Acoustic Emission Signals and Statistical Analysis to Distinguish between Lubrication Modes in Rolling

More information

SKF Aerospace, 22 rue Brillat Savarin, Valence, FRANCE

SKF Aerospace, 22 rue Brillat Savarin, Valence, FRANCE More info about this article: http://www.ndt.net/?id=23585 Combination of vibration analysis and Acoustic Emission measurements to better characterize damage and mechanical behaviour of aerospace high

More information

Tool Condition Monitoring using Acoustic Emission and Vibration Signature in Turning

Tool Condition Monitoring using Acoustic Emission and Vibration Signature in Turning , July 4-6, 2012, London, U.K. Tool Condition Monitoring using Acoustic Emission and Vibration Signature in Turning M. S. H. Bhuiyan, I. A. Choudhury, and Y. Nukman Abstract - The various sensors used

More information

AGN 008 Vibration DESCRIPTION. Cummins Generator Technologies manufacture ac generators (alternators) to ensure compliance with BS 5000, Part 3.

AGN 008 Vibration DESCRIPTION. Cummins Generator Technologies manufacture ac generators (alternators) to ensure compliance with BS 5000, Part 3. Application Guidance Notes: Technical Information from Cummins Generator Technologies AGN 008 Vibration DESCRIPTION Cummins Generator Technologies manufacture ac generators (alternators) to ensure compliance

More information

VIBRATION SIGNATURE ANALYSIS OF THE BEARINGS FROM FAN UNIT FOR FRESH AIR IN THERMO POWER PLANT REK BITOLA

VIBRATION SIGNATURE ANALYSIS OF THE BEARINGS FROM FAN UNIT FOR FRESH AIR IN THERMO POWER PLANT REK BITOLA VIBRATION SIGNATURE ANALYSIS OF THE BEARINGS FROM FAN UNIT FOR FRESH AIR IN THERMO POWER PLANT REK BITOLA Prof. Geramitchioski T. PhD. 1, Doc.Trajcevski Lj. PhD. 2 Faculty of Technical Science University

More information

Recommendation of RILEM TC 212-ACD: acoustic emission and related NDE techniques for crack detection and damage evaluation in concrete*

Recommendation of RILEM TC 212-ACD: acoustic emission and related NDE techniques for crack detection and damage evaluation in concrete* Materials and Structures (2010) 43:1177 1181 DOI 10.1617/s11527-010-9638-0 RILEM TECHNICAL COMMITTEE Recommendation of RILEM TC 212-ACD: acoustic emission and related NDE techniques for crack detection

More information

Mechanical Systems and Signal Processing

Mechanical Systems and Signal Processing Mechanical Systems and Signal Processing 25 (2011) 266 284 Contents lists available at ScienceDirect Mechanical Systems and Signal Processing journal homepage: www.elsevier.com/locate/jnlabr/ymssp The

More information

T10FS. Data Sheet. Torque Flange. Special features. Installation example T10FS. B en

T10FS. Data Sheet. Torque Flange. Special features. Installation example T10FS. B en T10FS Torque Flange Data Sheet Special features Nominal (rated) torques: 100 NVm, 200 NVm, 500 NVm, 1 knvm, 2 knvm, 3 knvm, 5 knvm, 10 knvm Nominal speed from 12,000 rpm to 24,000 rpm Low rotor weights

More information

Fault detection of a spur gear using vibration signal with multivariable statistical parameters

Fault detection of a spur gear using vibration signal with multivariable statistical parameters Songklanakarin J. Sci. Technol. 36 (5), 563-568, Sep. - Oct. 204 http://www.sjst.psu.ac.th Original Article Fault detection of a spur gear using vibration signal with multivariable statistical parameters

More information

Copyright 2017 by Turbomachinery Laboratory, Texas A&M Engineering Experiment Station

Copyright 2017 by Turbomachinery Laboratory, Texas A&M Engineering Experiment Station HIGH FREQUENCY VIBRATIONS ON GEARS 46 TH TURBOMACHINERY & 33 RD PUMP SYMPOSIA Dietmar Sterns Head of Engineering, High Speed Gears RENK Aktiengesellschaft Augsburg, Germany Dr. Michael Elbs Manager of

More information

FAULT DETECTION IN DEEP GROOVE BALL BEARING USING FFT ANALYZER

FAULT DETECTION IN DEEP GROOVE BALL BEARING USING FFT ANALYZER FAULT DETECTION IN DEEP GROOVE BALL BEARING USING FFT ANALYZER Sushmita Dudhade 1, Shital Godage 2, Vikram Talekar 3 Akshay Vaidya 4, Prof. N.S. Jagtap 5 1,2,3,4, UG students SRES College of engineering,

More information

Monitoring The Machine Elements In Lathe Using Vibration Signals

Monitoring The Machine Elements In Lathe Using Vibration Signals Monitoring The Machine Elements In Lathe Using Vibration Signals Jagadish. M. S. and H. V. Ravindra Dept. of Mech. Engg. P.E.S.C.E. Mandya 571 401. ABSTRACT: In any manufacturing industry, machine tools

More information

WHITE PAPER. Continuous Condition Monitoring with Vibration Transmitters and Plant PLCs

WHITE PAPER. Continuous Condition Monitoring with Vibration Transmitters and Plant PLCs WHITE PAPER Continuous Condition Monitoring with Vibration Transmitters and Plant PLCs Visit us online at www.imi-sensors.com Toll-Free in USA 800-959-4464 716-684-0003 Continuous Condition Monitoring

More information

University of Huddersfield Repository

University of Huddersfield Repository University of Huddersfield Repository Raharjo, Parno, Al Thobiani, Faisal, Gu, Fengshou and Ball, Andrew Early Failure Detection and Diagnostics of High Speed Self Aligning Journal Bearing Original Citation

More information

VIBRATION ANALYZER. Vibration Analyzer VA-12

VIBRATION ANALYZER. Vibration Analyzer VA-12 VIBRATION ANALYZER Vibration Analyzer VA-12 Portable vibration analyzer for Equipment Diagnosis and On-site Measurements Vibration Meter VA-12 With FFT analysis function Piezoelectric Accelerometer PV-57with

More information

Vibration Analysis on Rotating Shaft using MATLAB

Vibration Analysis on Rotating Shaft using MATLAB IJSTE - International Journal of Science Technology & Engineering Volume 3 Issue 06 December 2016 ISSN (online): 2349-784X Vibration Analysis on Rotating Shaft using MATLAB K. Gopinath S. Periyasamy PG

More information

AN5E Application Note

AN5E Application Note Metra utilizes for factory calibration a modern PC based calibration system. The calibration procedure is based on a transfer standard which is regularly sent to Physikalisch-Technische Bundesanstalt (PTB)

More information

DEVELOPMENT OF MEASUREMENT SYSTEM USING OPTICAL FIBER AE SENSORS FOR ACTUAL PIPING

DEVELOPMENT OF MEASUREMENT SYSTEM USING OPTICAL FIBER AE SENSORS FOR ACTUAL PIPING DEVELOPMENT OF MEASUREMENT SYSTEM USING OPTICAL FIBER AE SENSORS FOR ACTUAL PIPING SATOSHI NISHINOIRI, PORNTHEP CHIVAVIBUL, HIROYUKI FUKUTOMI and TAKASHI OGATA Materials Science Research Laboratory, Central

More information

CONDITION MONITORING A. R.L Thanmei Sr.E (Telecom), NT

CONDITION MONITORING A. R.L Thanmei Sr.E (Telecom), NT CONDITION MONITORING A t R.L Thanmei Sr.E (Telecom), NT Analogy What is condition monitoring? The non-invasive monitoring of systems to obtain knowledge of their condition; to distinguish wear, impending

More information

Control Valve Fault Detection by Acoustic Emission: Data Collection Method

Control Valve Fault Detection by Acoustic Emission: Data Collection Method Control Valve Fault Detection by Acoustic Emission: Data Collection Method Juwita Mad Juhani Universiti Pendidikan Sultan Idris, Tanjung Malim, Perak, Malaysia Email: juwita1987@gmail.com Rosdiazli Ibrahim

More information

Experimental Research on Cavitation Erosion Detection Based on Acoustic Emission Technique

Experimental Research on Cavitation Erosion Detection Based on Acoustic Emission Technique 30th European Conference on Acoustic Emission Testing & 7th International Conference on Acoustic Emission University of Granada, 12-15 September 2012 www.ndt.net/ewgae-icae2012/ Experimental Research on

More information

Industrial vibration sensor selection: Piezovelocity transducers

Industrial vibration sensor selection: Piezovelocity transducers Industrial vibration sensor selection: Piezovelocity transducers In many industrial monitoring applications, piezovelocity transducers have distinct advantages over piezoelectric accelerometers and traditional

More information

VIBRATIONAL MEASUREMENT ANALYSIS OF FAULT LATENT ON A GEAR TOOTH

VIBRATIONAL MEASUREMENT ANALYSIS OF FAULT LATENT ON A GEAR TOOTH VIBRATIONAL MEASUREMENT ANALYSIS OF FAULT LATENT ON A GEAR TOOTH J.Sharmila Devi 1, Assistant Professor, Dr.P.Balasubramanian 2, Professor 1 Department of Instrumentation and Control Engineering, 2 Department

More information

Rotating Machinery Fault Diagnosis Techniques Envelope and Cepstrum Analyses

Rotating Machinery Fault Diagnosis Techniques Envelope and Cepstrum Analyses Rotating Machinery Fault Diagnosis Techniques Envelope and Cepstrum Analyses Spectra Quest, Inc. 8205 Hermitage Road, Richmond, VA 23228, USA Tel: (804) 261-3300 www.spectraquest.com October 2006 ABSTRACT

More information

Fault diagnosis of Spur gear using vibration analysis. Ebrahim Ebrahimi

Fault diagnosis of Spur gear using vibration analysis. Ebrahim Ebrahimi Fault diagnosis of Spur gear using vibration analysis Ebrahim Ebrahimi Department of Mechanical Engineering of Agricultural Machinery, Faculty of Engineering, Islamic Azad University, Kermanshah Branch,

More information