CONTACTLESS MEASURING METHOD OF BLADE VIBRATION DURING TURBINE SPEED-UP

Similar documents
TESTING OF DYNAMICS OF BLADE WHEEL WITH DOUBLE PERIODICITY

PHASE DEMODULATION OF IMPULSE SIGNALS IN MACHINE SHAFT ANGULAR VIBRATION MEASUREMENTS

Gear Transmission Error Measurements based on the Phase Demodulation

DEVELOPEMENT OF VIBRODIAGNOSTIC SYSTEM OF TRAM WHEEL FOR DAMAGE ANALYSIS

Theory and praxis of synchronised averaging in the time domain

VOLD-KALMAN ORDER TRACKING FILTERING IN ROTATING MACHINERY

Vibration Analysis on Rotating Shaft using MATLAB

Using frequency and modal analysis to attenuate low frequency waves

GT THE USE OF EDDY CURRENT SENSORS FOR THE MEASUREMENT OF ROTOR BLADE TIP TIMING: DEVELOPMENT OF A NEW METHOD BASED ON INTEGRATION

CONTROLLING THE OSCILLATIONS OF A SWINGING BELL BY USING THE DRIVING INDUCTION MOTOR AS A SENSOR

Response spectrum Time history Power Spectral Density, PSD

PVA Sensor Specifications

Lecture on Angular Vibration Measurements Based on Phase Demodulation

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

CASE STUDY OF OPERATIONAL MODAL ANALYSIS (OMA) OF A LARGE HYDROELECTRIC GENERATOR

Traction Drive with PMSM: Frequency Characteristics Measurement

CHAPTER 3 DEFECT IDENTIFICATION OF BEARINGS USING VIBRATION SIGNATURES

MEASUREMENT OF SURFACE DISPLACEMENT EXCITED BY EMAT TRANSDUCER

- GOMS II. -GOMS II Gearbox Online Monitoring System. P o w e r T r a n s m i s s i o n. Application Note Wind Energy

Current-Based Diagnosis for Gear Tooth Breaks in Wind Turbine Gearboxes

Composite aeroacoustic beamforming of an axial fan

PeakVue Analysis for Antifriction Bearing Fault Detection

THE STUDY OF THE SYNCHRONOUS MOTOR

Reduction of flicker effect in wind power plants with doubly fed machines

1 INTRODUCTION 2 MODELLING AND EXPERIMENTAL TOOLS

Practical Machinery Vibration Analysis and Predictive Maintenance

A NEW MOTOR SPEED MEASUREMENT ALGORITHM BASED ON ACCURATE SLOT HARMONIC SPECTRAL ANALYSIS

Synchronous Machines Study Material

Bahram Amin. Induction Motors. Analysis and Torque Control. With 41 Figures and 50 diagrams (simulation plots) Springer

APPLICATION NOTE 3560/7702. Introduction

NOISE REDUCTION IN SCREW COMPRESSORS BY THE CONTROL OF ROTOR TRANSMISSION ERROR

(i) Sine sweep (ii) Sine beat (iii) Time history (iv) Continuous sine

On the axes of Fig. 4.1, sketch the variation with displacement x of the acceleration a of a particle undergoing simple harmonic motion.

BLADE AND SHAFT CRACK DETECTION USING TORSIONAL VIBRATION MEASUREMENTS PART 2: RESAMPLING TO IMPROVE EFFECTIVE DYNAMIC RANGE

ELEC3242 Communications Engineering Laboratory Amplitude Modulation (AM)

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

Shaft Vibration Monitoring System for Rotating Machinery

Prognostic Health Monitoring for Wind Turbines

Instrumentation (ch. 4 in Lecture notes)

Optical Encoder Applications for Vibration Analysis

SIMPLE GEAR SET DYNAMIC TRANSMISSION ERROR MEASUREMENTS

System Inputs, Physical Modeling, and Time & Frequency Domains

Intermediate and Advanced Labs PHY3802L/PHY4822L

AMTI FILTER DESIGN FOR RADAR WITH VARIABLE PULSE REPETITION PERIOD

CHAPTER 7 FAULT DIAGNOSIS OF CENTRIFUGAL PUMP AND IMPLEMENTATION OF ACTIVELY TUNED DYNAMIC VIBRATION ABSORBER IN PIPING APPLICATION

Preliminary study of the vibration displacement measurement by using strain gauge

(1.3.1) (1.3.2) It is the harmonic oscillator equation of motion, whose general solution is: (1.3.3)

PHYSICAL PHENOMENA EXISTING IN THE TURBOGENERATOR DURING FAULTY SYNCHRONIZATION WITH INVERSE PHASE SEQUENCE*

Vibration Signal Pre-processing For Spall Size Estimation in Rolling Element Bearings Using Autoregressive Inverse Filtration

SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 17. Aliasing. Again, engineers collect accelerometer data in a variety of settings.

ZOOM Software Measurement and Graph Types

Rotating Machinery Fault Diagnosis Techniques Envelope and Cepstrum Analyses

Structural Health Monitoring of bridges using accelerometers a case study at Apollo Bridge in Bratislava

DESIGN, CONSTRUCTION, AND THE TESTING OF AN ELECTRIC MONOCHORD WITH A TWO-DIMENSIONAL MAGNETIC PICKUP. Michael Dickerson

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

Bearing fault detection of wind turbine using vibration and SPM

Latest Control Technology in Inverters and Servo Systems

EET 223 RF COMMUNICATIONS LABORATORY EXPERIMENTS

Lab 2b: Dynamic Response of a Rotor with Shaft Imbalance

REGULACE AUTOMATIZACE BOR spol. s r.o.

Theme 2 The Turbine Dr Geoff Dutton

Operation of Separately Excited Switched Reluctance Generator

Calibration of Hollow Operating Shaft Natural Frequency by Non-Contact Impulse Method

ISSUES OF SYSTEM AND CONTROL INTERACTIONS IN ELECTRIC POWER SYSTEMS

CHAPTER 5 FAULT DIAGNOSIS OF ROTATING SHAFT WITH SHAFT MISALIGNMENT

Active Vibration Isolation of an Unbalanced Machine Tool Spindle

What are we looking at?

Target Temperature Effect on Eddy-Current Displacement Sensing

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

Experimental Investigation of Unsteady Pressure on an Axial Compressor Rotor Blade Surface

SYNCHRONOUS MACHINES

Permanent Magnet Machine Can Be a Vibration Sensor for Itself M. Barański

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

Catalog of CLA force and torque sensors

Vibration based condition monitoring of rotating machinery

Influence of Vibration of Tail Platform of Hydropower Station on Transformer Performance

Research Article High Frequency Acceleration Envelope Power Spectrum for Fault Diagnosis on Journal Bearing using DEWESOFT

Swinburne Research Bank

Estimation of Vibrations in Switched Reluctance Motor Drives

Teaching Mechanical Students to Build and Analyze Motor Controllers

Fault Diagnosis of Wind Turbine Gearboxes Using Enhanced Tacholess Order Tracking

A simulation of vibration analysis of crankshaft

NVH analysis of a 3 phase 12/8 SR motor drive for HEV applications

The units of vibration depend on the vibrational parameter, as follows:

Stepper Motors WE CREATE MOTION

A Simplified Extension of X-parameters to Describe Memory Effects for Wideband Modulated Signals

MODEL MODIFICATION OF WIRA CENTER MEMBER BAR

PREDICTIVE CONTROL OF INDUCTION MOTOR DRIVE USING DSPACE

Beating Phenomenon of Multi-Harmonics Defect Frequencies in a Rolling Element Bearing: Case Study from Water Pumping Station

Using Spectral Analysis to Determine the Resonant Frequency of Vibrating Wire Gages HE Hu

NON-SELLABLE PRODUCT DATA. Order Analysis Type 7702 for PULSE, the Multi-analyzer System. Uses and Features

Speed Measurement Method for Digital Control System

PART 2 - ACTUATORS. 6.0 Stepper Motors. 6.1 Principle of Operation

Torsional Monitoring of Turbine-Generators for Incipient Failure Detection. Prepared for:

SIMULATION OF NON-LINEAR LOAD

CHAPTER-III MODELING AND IMPLEMENTATION OF PMBLDC MOTOR DRIVE

ECNDT We.2.6.4

Analysis of Wound Rotor Induction Machine Low Frequency Vibroacoustic Emissions under Stator Winding Fault Conditions

Statistical analysis of low frequency vibrations in variable speed wind turbines

Precision power measurements for megawatt heating controls

Transcription:

Engineering MECHANICS, Vol. 17, 2010, No. 3/4, p. 173 186 173 CONTACTLESS MEASURING METHOD OF BLADE VIBRATION DURING TURBINE SPEED-UP Pavel Procházka, František Vaněk, Jan Cibulka, Vítězslav Bula* A novel method of contactless measurement of turbine blade vibration during increasing (decreasing) operational speed is presented. The method is based on evaluation of time differences of blade passages along contactless sensors placed on the stator, and substitutional data correction using a numerical model. The method has been verified both numerically and experimentally. For the experimental research on the bladed model wheel of the Institute of Thermomechanics and subsequent applications under operating conditions, two new types of sensors functioning on magnetoresistive and induction principle have been developed. Keywords : rotor blade vibration, contactless measurement, tip-timing 1. Introduction Measurement system VDS-UT (Vibrodiagnostic System UT) has been recently developed in the Institute of Thermomechanics of the Academy of Sciences of the Czech Republic for contacless measurement of turbine blade vibration [1], [4], [5], [6]. This system has been focused on the analysis of vibration of steam turbine blades operating at a constant rotor speed. The aim of presented research work was to design and verify on an experimental model a new method for contactless measurements of transient phenomena, when natural frequencies of blades with large vibration amplitudes may be significantly excited (e.g. by passing critical speed during turbine speed-up). Measurements at irregular rotation of the machine required changes in both sensing and evaluating units of the vibrodiagnostic system. New algorithms based on a comparison of separate blade deflections with an original state (etalon) enable to detect changes in vibration characteristics of blades and thus their possible damage due to an inappropriate operational regime or material defects. 2. The numerical model Information on regimes of turbine speed-up has been obtained from several power plants, and also measurements by means of the storage oscilloscope Yokogawa DL750 were performed, to establish the maximal value of a turbine speed acceleration. The measurements evaluated and information received indicate that the turbines accelerate to the operational speed with practically constant angular acceleration, ranging up to 10 rad s 2. The typical course of turbine speed-up in time can be seen in Fig. 1. Two constant horizontal sections represent warming-up time delays. Turbine rotational speed increases linearly under electronic control. A uniformly accelerated rotational motion has been presumed for the numerical model. * Ing. P. Procházka, CSc., Ing. F. Vaněk, CSc., J. Cibulka, Ing. V. Bula, Institute of Thermomechanics AS CR, Dolejškova 5, 182 00 Praha 8, Czech Republic

174 Procházka P. et al.: Contactless Measuring Method of Blade Vibration During Turbine Speed-Up Fig.1: A sample record of turbine speed-up acceleration Fig.2: Block diagram of the contactless vibrodiagnostic system A block diagram of the 8-channel vibrodiagnostic system can be seen from in Fig. 2. The contactless sensors S1 to S8 placed on the stator generate impulse signals by passages of each turbine blade tip. The sensor S0 detects the passages of a magnetic reference mark attached to the shaft. Impulse output signals of the sensors S0 to S8 are digitized and connected to the central measuring unit DIO. This unit includes a precise counter and, as the result, a numerical value of time is assigned to each generated pulse. The time data complemented by a sensor address and auxiliary operational analogue readouts are sent to a local or distant (via modem or net) computer (PC). Time differences of each blade passage are calculated and transferred to circumferential deflections and subsequently to blade bending deflections. Using the algorithm of DFT, the amplitudes and frequencies of vibration of all blades can be ascertained. This method is often referred as tip-timing. A numerical model has been developed to simulate contactless sensing and evaluation process of rotor blade vibration, when increasing or decreasing the turbine speed. The numerical model was implemented in the program environment TestPoint 6.1. Considering uniform approaching the operational speed 3000 rpm of real turbines, a uniformly accele-

Engineering MECHANICS 175 rated rotational motion of the rotor with a constant angular acceleration is assumed in the mathematical model. The basic equation of the motion can be expressed as σ = ω 0 t + αt2 2, (1) where σ [rad] is the angular distance, ω 0 [rad s 1 ] is the angular velocity for t =0,t [s] is time and α [rad s 2 ] is the angular acceleration. Assuming contacless sensors equally spaced around the perimeter of the stator, we get for the angular distance of the j-th sensor, j =1, 2,...,n s σ = 2π j. (2) n s Solving equation (1), we obtain the real root for the time of the blade passage around the j-th sensor ω 0 + ω0 2 + 4πα j n t s = s. (3) α The numerical model is based on this solution. The interactive control panel of the numerical model can be seen in Fig. 3. The program allows entering parameters of blade vibration (frequency, amplitude and phase shift of two main components of bending vibration in the circumferential direction), an instantaneous state of the turbine (initial speed, angular acceleration) and the vibrodiagnostic system (number of contactless sensors on the stator and their angular distance). The model can take into account failure of a sensor as well. The example in Fig. 3 simulates the state of the vibrodiagnostic system with 7 functioning sensors and one sensor out Fig.3: The control panel and the display of the numerical model

176 Procházka P. et al.: Contactless Measuring Method of Blade Vibration During Turbine Speed-Up of order. A uniform distribution of sensors along the perimeter of the stator is assumed. The corresponding sequence of samples of time differences, which is the input for the discrete Fourier transform (DFT), is compiled from data generated by the modelled passage of blades along contactless stator sensors (upper graph). The output of the model is the linear amplitude spectrum of time differences of vibrating blades during uniformly accelerated rotational motion of the rotor (lower graph). The numerical values of the frequency and the amplitude of the main spectral function component are displayed. The result of the calculation provides further auxiliary information, e.g. range of the spectrum, initial angular velocity ω 0 and the time of the blade passage along a given sensor. Appropriate measuring method can be designed and optimised by this numerical model, permitting thus utilization of this method for precise measurements during turbine speed acceleration. Features of contactless vibrodiagnostic systems based on the method of time differences were analysed for a wide range of angular acceleration (from 0.01 to 2000 rad s 2 ). For the rotational speed varying from 100 rpm to 3000 rpm, the impact of angular acceleration on the frequency and amplitude of blade vibrations was examined. For these calculations, natural frequencies of 130, 150 and 170 Hz were chosen, as they correspond to the real values of natural frequencies of the long blades of low-pressure turbine stages, e.g. in power stations Prunéřov and Temelín. Examples of dependence obtained by the numerical model calculations for 500, 1500 and 3000 rpm are shown in Figs. 4 to 10. While the frequency Fig.4: The maximal value of the amplitude spectral function of blade vibration in dependence on the angular acceleration α for the rotor speed of 500 rpm

Engineering MECHANICS 177 Fig.5: The dependence of the calculated dominant frequency of blade vibration on the angular acceleration α for the rotor speed of 500 rpm Fig.6: The maximal value of the amplitude spectral function of blade vibration in dependence on the angular acceleration α for the rotor speed of 1500 rpm Fig.7: The dependence of the calculated dominant frequency of blade vibration on the angular acceleration α for the rotor speed of 1500 rpm

178 Procházka P. et al.: Contactless Measuring Method of Blade Vibration During Turbine Speed-Up Fig.8: The maximal value of the amplitude spectral function of blade vibration in dependence on the angular acceleration α for the rotor speed of 3000 rpm Fig.9: The dependence of the calculated dominant frequency of blade vibration on the angular acceleration α for the rotor speed of 3000 rpm Fig.10: The value of angular acceleration α resulting in the decrease d X s(f) =0.001 of the maximum of the amplitude spectrum in dependence on rpm

Engineering MECHANICS 179 error pertains to the values of angular acceleration α>10 rad s 2, the amplitude error is already discernible at α>0.01 rad s 2. For higher values of α>1rads 2, we can observe a decreasing character of the amplitude spectral function verging to a chaotic character. This effect is caused by the properties of DFT. The dependence of the angular acceleration α resulting in the decrease d X s (f) =0.001 of the amplitude spectrum maximum on rpm can be seen from Fig. 10. Sensitivity to the value of acceleration depends on the instantaneous rotor speed. For low values of the rotor speed, already small values of acceleration α can cause relatively large changes of the maximum of the amplitude spectral function of blade vibration. The amplitude error due to these changes decreases with the rotor speed. Hence, the limit for a fixed amplitude decrease (d X s (f) =0.001 for example in Fig. 10) increases with increasing rotor speed. Similar curves can be observed for the frequencies 130, 150 and 170 Hz. The dashed line shows an average curve. Fig.11: Emergence of the side bands by 200 rpm and α =1[rad s 2 ] Based on the knowledge obtained from the numerical modelling, a substitutional method for correcting measurement errors caused by acceleration of the machine has been proposed. At first, initial rotor speed is ascertained by a precise time measurement of passages of magnetic marks placed on the rotor. Similar method is used to determine acceleration of the rotor. Subsequently, the value of acceleration is put to zero and primary approximate characteristics of blade vibration are calculated. Then, assuming a constant average value of real acceleration, the obtained values are entered to the numerical model, which yields correct data. This method enables measuring even at high angular acceleration values, when the results would be greatly distorted by large amplitude and frequency errors. Increasing the angular acceleration at high rotational speed or decreasing rotational speed at higher values of a constant angular acceleration, we can observe phenomena of formation

180 Procházka P. et al.: Contactless Measuring Method of Blade Vibration During Turbine Speed-Up of side bands in the amplitude spectral function. An example of this situation is displayed for 200 rpm and α =1[rads 2 ]. Even if the number of active sensors n s = 8 is maximal and single spectral line is expected, we can observe several additional spectral lines shifted by the frequency f rot =3.33 [Hz]. This value represents the initial value of the rotational frequency given as f rot = rpm 60, (4) whereas R is the range of the DFT R = n s f rot. (5) In the given example R = 26.67 Hz. The higher side bands are mirror flipped at the frequency band limits. The input frequency of blade vibrations f 1 = 170 [Hz] is transformed by the given value of the sampling rotational frequency to f 1t =16.67 [Hz]. Due to the frequency error, this value is distorted to the real output f 1o =17.87 Hz. Fig.12: Relative amplitudes of the first and second side bands to the amplitude of the main spectral line a 0 in dependence on an angular acceleration α for 1500 rpm Fig.13: Relative amplitudes of the first side band to the amplitude of the main spectral line a 0 in dependence on rpm for α = 100 rad s 2 and f 1 = 170 Hz

Engineering MECHANICS 181 Occurrence of side bands has been studied for a wide range of rotational speed from 100 to 3000 rpm. The dependence of the relative amplitude of the first and second side bands a 1 /a 0 and a 2 /a 0, respectively, for the speed 1500 rpm and the vibration frequency 170 Hz can be seen in the example in Fig. 12. Assuming a fixed angular acceleration α we can study the dependence of the ratio of the side band amplitude and of the appropriate maximum of the spectral amplitude function. An example of the dependence of the relative side band amplitude on the rotor speed is shown in Fig. 13. The curve is characterized by a maximum around 200 rpm and a falling course with increasing speed. 3. Experimental verification of the method For the experimental verification of the method, two new types of blade passage sensors have been developed and both static and dynamic characteristics of these sensors have been verified. Special emphasis was placed on the resilience and endurance of these sensors, so that they could be utilized under real operational conditions. The sensors were used in the contacless vibrodiagnostic system VDS-UT at the power station Temelín. For protection of intellectual property associated with the development of new types of sensors, patent applications [2], [3] have been submitted for registration. Both inductive and magnetoresistive sensors developed for sensing a position of rotating machine parts operate as contactless sensors located on the machine stator. The magnetoresistive sensors provide increased linearity and accuracy, and feature optimum direction of magnetization and the symmetry of the output signal. Current supplied sensors can measure their own internal temperature as well. Magnetoresistive sensors can be used for measurements by the circumferential speeds upto700m/sandambienttemperaturesup to 200 C. The construction of the sensor prevents water erosion. The photograph of the magnetoresistive sensor is shown in Fig. 14. Fig.14: A contactless magnetoresistive sensor The function of the modified arrangement of the vibrodiagnostic system for measuring during wheel speed-up and slow-down has been verified. Experiments were carried out on the experimental model of the bladed wheel fitted with 47 prismatic blades in the dynamic laboratory of the Institute of Thermomechanics. Necessary adjustments of regulation circuits of the wheel had been performed, which allowed uniform increase of the wheel speed in the range from 0 to 720 rpm with an angular acceleration from 0.01 to 1 [rad s 2 ]. To calibrate the proposed measuring method, existing strain gauge system of the model wheel was utilized. The arrangement of the model wheel can be seen in Fig. 15.

182 Procházka P. et al.: Contactless Measuring Method of Blade Vibration During Turbine Speed-Up Examples of measurements performed on the model wheel during its uniformly accelerating speed from 0 rpm to 720 rpm are presented in Figs. 16 and 17 showing the records taken by the memory oscilloscope Yokogawa DL750. Channel 1 FZ shows the signal of the reference phase mark, channel 2 TL1 shows voltage output of a strain gauge located on the blade No. 1, channel 4 MR shows voltage output of the contacless magnetoresistive sensor MR1 and channel 6 60l shows the output of an auxiliary reference blade signal. The disk of the wheel was excited by a magnetic field of an alternating electromagnet with constant frequency of 60 Hz. Fig.15: The experimental model of the bladed wheel in the dynamic laboratory It can be observed from the signal envelope of the strain gauge in channel 2 TL1 that by increasing the speed, initially the first mode shape and in the following section also the second mode shape are subsequently excited. While blade vibration is apparent from the amplitudes of the strain gauge signal, the corresponding information can be obtained from the output signal of the contactless magnetoresistive sensor using data processing method of time or amplitude differences. A more detailed record involving one revolution of 627 rpm can be seen in Fig. 17. The strain gauge resonant signal is apparently modulated by a close harmonic signal. The trace 4 MR shows impulses generated by passages of single blades. From amplitude and time changes of these impulse signals, the static and dynamic characteristics of blade vibration can be evaluated. Calculating the linear amplitude spectra of the strain gauge signal and the magnetoresistive sensor signal by the software Viewer by Yokogawa, we can draw conclusions regarding character of vibration of the examined bladed wheel. Results of FFT calculations for 420 rpm in Fig. 18 show the dominant frequency of the amplitude spectrum of the magnetoresitive sensor 61 Hz, which corresponds to the frequency of the exciting signal of the electromagnet. The dominant frequency of the amplitude spectrum of the strain gauge signal is shifted down by the frequency of rotation f rot = 7 Hz, which indicates excitation of a forward wave.

Engineering MECHANICS 183 Fig.16: Measurements of uniformly accelerated rotation from 0 rpm to 720 rpm on the experimental model wheel recorded by a storage oscilloscope Fig.17: Measurement of uniformly accelerated rotation from 0 rpm to 720 rpm on the experimental model wheel recorded by the storage oscilloscope Yokogawa DL750. More detailed record of one revolution by 627 rpm Fig.18: Linear amplitude spectra by 420 rpm (7 Hz) with dominant frequencies of LS(TL1) : 54 Hz, 68 Hz, 74 Hz and LS(MR1) : 61 Hz

184 Procházka P. et al.: Contactless Measuring Method of Blade Vibration During Turbine Speed-Up Fig.19: Linear amplitude spectra by 590 rpm (9.8 Hz) with dominant frequencies of LS(TL1) : 51 Hz, 61 Hz, 79 Hz and LS(MR1) : 61 Hz In the second resonant range with higher rotational speed, the reverse frequency shift, leading to the higher value of the strain gauge dominant frequency compared to the excitation frequency, proves excitation of a backward wave (Fig. 19). As results from the numerical modeling, negligible frequency errors occurred in the interval α = 0.01, 1 of the values of the angular acceleration adjustable on the experimental model. Consequently, only amplitude errors are measurable. Measured values were compared with the values calculated by means of the numerical model for speed ranging from 250 to 720 rpm. Examples of measured a calculated dependence of the relative amplitude of vibration on an angular acceleration α for 250, 500 and 720 rpm can be seen in Figs. 20a), 20b) and 20c), respectively. The axial deflections of prismatic blades of the wheel model were converted into the radial direction by the angle edges of the blades (see Fig. 15). The amplitudes are related to the maximum values of the amplitude spectral function. From these diagrams, a good agreement of the experiment with the numerical modeling is apparent. 4. Conclusion Possibilities and restrictions of contactless measurements of vibration characteristics of turbine blades during increasing or decreasing operational turbine speed have been determined. Modelling numerically contactless vibrodiagnostic process and assuming uniformly accelerated rotational movement, characteristics of a contactless measurement system based on the method of time differences were analysed for a wide range of values of angular acceleration α from 0.001 to 2000 rad s 2. The influence of variation of the angular acceleration on the resulting values of frequency and amplitude of blade vibration was investigated for the speed range of 100 rpm to 3000 rpm. Based on the numerical modelling, a substitution method for correcting errors caused by a non-zero rotor angular acceleration has been suggested. First, the initial rotational speed is ascertained by a precise time measurement of passages of magnetic marks placed on the rotor. Then, the same procedure is used to determine an instantaneous acceleration of the rotor. Subsequently, characteristics of blade vibrations are calculated for the rotation without acceleration. Then, assuming a constant average value of real acceleration, the

Engineering MECHANICS 185 Fig.20: Relative amplitude of vibration of the blade No. 1 on angular acceleration α for a) 250, b) 500 and c) 720 rpm. Output of the numerical model and measurement on the experimental model wheel of the Institute of Thermomechanics obtained values are entered to the numerical model and original values are substituted by corrected data. This method enables measuring even at high angular acceleration values when the results would be normally distorted by large amplitude and frequency errors. Verification of suggested measuring method was carried out on the model of the rotating bladed wheel in the dynamic laboratory of the Institute of Thermomechanics. Arrangement of modified vibrodiagnostic system has been proved for speed-up and slow-down regimes. Experiments were carried out for speeds from 0 to 720 rpm with a uniform acceleration α

186 Procházka P. et al.: Contactless Measuring Method of Blade Vibration During Turbine Speed-Up ranging from 0.01 to 1 [rad s 2 ]. For the experiments, two new types of blade passage sensors have been developed and their static and dynamic characteristics have been verified. Magnetoresistive sensors feature extremely rapid dynamic response, which allows precise measurements even by peripheral speeds up to 700 [m/s]. High resilience and endurance of these sensors enables their usage in operational conditions at real power plants. The sensors were applied in the contacless vibrodiagnostic system VDS-UT installed at the power station Temelín. Acknowledgement The research was supported and carried out within the pilot project of the research plan No. AV0Z20760514 of the Institute of Thermomechanics. References [1] Procházka P., Vaněk F., Pešek L., Cibulka J., Vaněk P.: An improvement of the vibrodiagnostic system for research of rotating machine parts vibration (in Czech), Dynamika strojů 2009, Praha : Ústav termomechaniky AV ČR, v.v.i., 2009, p. 97 106 [2] Procházka P., Vaněk F., Pešek L., Cibulka J., Vaněk P.: Inductive sensor for sensing position of rotating machine parts (in Czech), Utility model application: PUV 2009-21775. [3] Procházka P., Vaněk F., Pešek L., Cibulka J., Vaněk P.: Magnetoresistive sensor for sensing position of rotating machine parts (in Czech), Utility model application: PUV 2009-21776 [4] Procházka P., Vaněk F., Pešek L., Cibulka J., Vaněk P. : A technology of contactless vibrodiagnostics of blades of steam turbines low-pressure parts (in Czech), Knowledge of research and development RIV/61388998 /07: 00309252, 2008 [5] Vaněk F., Pešek L., Procházka P., Vaněk P., Cibulka J.: Vibrodiagnostic systems for dynamic parameter measurement of rotating parts in power industry (in Czech), Proc. of the conference Parní turbíny a jiné turbostroje 2007, Plzeň: A.S.I-Turbostroje Plzeň, Škoda Power a.s., Západočeská univerzita v Plzni, FST, KKE, 2007 p. 23/1 23/8 [6] Daněk O., Vaněk F., Procházka P., Kozánek J., Pešek L.: Diagnostic Magneto-Kinetic Equipment MK3, Book of Abstracts Identification and Updating Methods of Mechanical Structures EUROMECH 437, Praha : Ústav termomechaniky AV ČR, 2002, p. 12, ISBN 80-85918-73-0 Received in editor s office : March 23, 2010 Approved for publishing : June 4, 2010 Note : This paper is an extended version of the contribution presented at the national colloquium with international participation Dynamics of Machines 2010 in Prague.