Tools for Advanced Sound & Vibration Analysis
|
|
- Estella Page
- 5 years ago
- Views:
Transcription
1
2 Tools for Advanced Sound & Vibration Ravichandran Raghavan Technical Marketing Engineer
3 Agenda NI Sound and Vibration Measurement Suite Advanced Signal Processing Algorithms Time- Quefrency and Cepstrum Wavelet AR Modeling Application Examples Bearing fault detection, dashboard motor testing, speaker testing, Prognostics 3
4 NI Sound and Vibration Measurement Suite Minimize development time with ready-to-run application examples Get started quickly with the Sound and Vibration Assistant (LabVIEW not required) Build custom data acquisition systems faster than ever with DAQ configuration XControl Avoid the expense of verification with NI ANSI- and IEC-compliant octave and sound-quality analysis Decrease test time with parallel processing 4
5 Sound and Vibration Signals Can indicate the condition or quality of machines and structures Cooling fans with faulty bearings produce louder noise You can analyze sound and vibration signals to Optimize a design Ensure production quality Monitor machine or structure conditions 5
6 Signal Characteristics Plane Frequen ncy Short time but wide band Long time but narrow band Short time & narrow band Time 6
7 Signal Processing Algorithms Overview Time Domain Domain Time- Domain Quefrency Domain (Cepstrum) Wavelet Model-Based 7
8 How to Select the Right Algorithms Order Order Order Order Time Time Time Time- Quefrency Quefrency Quefrency Quefrency Wavelet Wavelet Wavelet Wavelet Model Model Model Model Based Based Based Based t f 8
9 Select the Right Algorithms Order Order Order Order Time Time Time Time- Quefrency Quefrency Quefrency Quefrency Wavelet Wavelet Wavelet Wavelet Model Model Model Model Based Based Based Based t f 9
10 Limitations of the FFT No information about how frequencies evolve over time Not suitable for analyzing impulsive signals 10
11 Power Spectrum A power spectrum does not contain time information 11
12 Transients It is difficult to detect presence of transients in a signal by its power spectrum 12
13 Time- 13
14 Time- The short-time Fourier transform (STFT STFT) is the most popular time-frequency analysis algorithm STFT 14
15 Advantages of Time- Time-frequency representation shows how frequency components of a signal evolve over time Reversed in time domain 15
16 Application Example: Speaker Test Speakers play a log chirp for quality test 16
17 Select the Right Algorithms Order Order Order Order Time Time Time Time- Quefrency Quefrency Quefrency Quefrency Wavelet Wavelet Wavelet Wavelet Model Model Model Model Based Based Based Based t f 17
18 Quefrency 18
19 Cepstrum and Quefrency Cepstrum is the spectrum of a decibel spectrum Quefrency is the independent variable of cepstrum IFFT 19
20 Cepstrum Property The cepstrum reveals the periodicity of a spectrum A peak in the cepstrum corresponds to harmonics in power spectrum Rahmonics 10Hz harmonics A peak at 0.1s quefrency 20
21 Cepstrum Property Cont. 13Hz harmonics 10Hz harmonics 10Hz and 13Hz harmonics 1/13 = 0.078s 1/10 = 0.1s 21
22 Application Example: Bearing Fault Detection Use a cepstrum to detect a bearing fault Characteristic frequency for an outer ring fault of a bearing f f outer inner N = Bf D 1 B cos( α) 2 DC Characteristic frequency for an inner ring fault of a bearing N = Bf D 1+ B cos( α ) 2 DC D B N B : Number of balls : Ball diameter α : Ball contact angle f : Rotation frequencyd : Retainer diameter C 22
23 Bearing Fault Detection Example Geometry parameters of the bearings under test are: NB = 7 f = 30Hz D C = 70mm D B = 10mm α = 0 Characteristic frequencies of the bearings are: Outer ring fault Inner ring fault N f D B B fouter = 1 cos( ) = 3.0f = 90Hz 2 α D C N f D B B finner = 1 cos( ) = 4.0f = 120Hz 2 + α D C 23
24 Harmonics of Bearing Signals Use harmonics to detect bearing faults The outer ring fault signal has harmonics of 90Hz The inner ring fault signal has harmonics of 120Hz 24
25 Cepstrum of Bearing Signals A peak in the cepstrum means harmonics exist in the power spectrum 25
26 Select the Right Algorithms Order Order Order Order Time Time Time Time- Quefrency Quefrency Quefrency Quefrency Wavelet Wavelet Wavelet Wavelet Model Model Model Model Based Based Based Based t f 26
27 Wavelet 27
28 Wavelet vs Sine Wave Wavelet = Wave (Oscillatory ) + let (Compact) 28
29 Wavelet Transform: Look at the FFT First 29
30 Wavelet Transform 30
31 Application Example: Dashboard Motor Production Test A dashboard motor is a stepper motor that has an angle constraint Oil pressure, tachometers, and speedometers use dashboard motors Dead zone 31
32 Dashboard Motor Faults There are two kinds of faults Fault 1 Knock at turning angles Fault 2 Rub noise Good Motor Knocks Larger Knocks and Rub 32
33 Why do Wavelets Work? Knocks generate spikes and resonance Spikes and high frequency resonance result in larger wavelet coefficients 33
34 Select the Right Algorithms Order Order Order Order Time Time Time Time- Quefrency Quefrency Quefrency Quefrency Wavelet Wavelet Wavelet Wavelet Model Model Model Model Based Based Based Based t f 34
35 Model-Based 35
36 Auto-Regressive (AR) Modeling A sample in a time series can be considered as the linear combination of past samples plus error x( n) = M k= 1 a k x( n k) + e( n) Deterministic part (Model Coefficients) Stochastic part (Modeling error) 36
37 Power Spectrum Estimation The AR model spectrum has higher resolution than the FFT based spectrum 37
38 Application Example: Hard Disk Drive Production Test AR modeling errors indicate different types of HDD faults. Good Pitch Crack Zee 38
39 Application Example: Engine Knock Detection Optimized ignition timing results in a higher degree of engine efficiency Earlier ignition results in a lower engine temperature and reduced efficiency. Late ignition might result in auto-ignition and cause engine knocks, which are shock waves on the cylinder. Engine knocks are transient events and can be detected by the AR modeling error. 39
40 Engine Knock Detection - Sample 1 Constant Speed You cannot see knocks in the signal, even though you can hear them clearly Peaks indicate the existence of knocks 40
41 Engine Knock Detection - Sample 2 Run-up and Run-down 41
42 Highlights of AR Modeling Good mathematical description of stationary signal. The AR modeling error indicates transients in the signal 42
43 Select the Right Algorithms Order Order Order Order Time Time Time Time- Quefrency Quefrency Quefrency Quefrency Wavelet Wavelet Wavelet Wavelet Model Model Model Model Based Based Based Based t f 43
44 Watchdog Agent Prognostics Toolkit
45 Prognostics Confidence Value for performance degradation assessment (CV ~ 0-1) Health Radar Chart for multiple components degradation monitoring Health Map for potential issues and pattern classification Risk Radar Chart to prioritize maintenance decision 45
46 Watchdog Agent 46
47 Prognostics & Forecasting Methods Start of Performance Degradation Feature 2 Normal Behavior Current Situation Model of Failure Predicted Probability of Failure Predicted Confidence Value 0 Evolution of ARMA Prediction ARMA Prediction Feature 1 Prediction Uncertainty 47
48 Signal Processing & Feature Extraction Raw Vibrations Stationary Raw Vibrations Signal Processing & Feature Extraction Time Domain Domain Time- Wavelet/Wavelet Packet Principal Component (PCA) Non-Stationary Time- synchronous Average FFT + Envelope Wavelets scales a CWT of time synchronous signal for gearbox with broken tooth (File 105) Time (for 1 revolution) 48
49 Health Assessment Health Assessment Logistic Regression Statistical Pattern Recognition Feature Map Pattern Matching (Self-organizing Map) Neural Network Gaussian Mixture Model (GMM) Normal Behavior in Operating Condition 1 Recent Behavior in Operating Condition 1 Raw Vibration in each Operating Condition Normal Behavior Most Recent Behavior Feature Space Confidence Value (CV) 49
50 Health Diagnosis Health Diagnosis Support Vector Machine (SVM) Feature Map Pattern Matching (SOM) Bayesian Belief Network (BBN) Hidden Markov Model (HMM) Evidence-based Holo-Coefficients Normal Behavior in Operating Condition 1 Recent Behavior in Operating Condition 1 Features Gearbox Health Map Normal Gearbox C1 C1 C3 C3 C2 C2 Need to train 1 health map for each operating condition! C1 C1 C3 Recent Behavior Gear 1 Broken Tooth C4 C4 C4 C4 50
51 PHM Analytics for a Wind Farm WIND FARM INFO: CURRENT CONDITIONS: N Equipment Health Equipment Risk 51
52 WIND TURBINE INFO: CURRENT CONDITIONS: Component Health N 1 Wind Turbine Efficiency Wind Turbine Efficiency Time Wind Turbine CV History Component Risk Health CV History Time 52
53 NI LabVIEW Watchdog Agent Toolkit Signal Features Health Assessment Confidence Value Health Prediction Future Health Health Diagnosis 53
Save Money and Decrease Downtime with Vehicle and Equipment Monitoring. Embedded Technology Summit National Instruments
Save Money and Decrease Downtime with Vehicle and Equipment Monitoring Embedded Technology Summit National Instruments Costa Allegra Types of Vehicle Monitoring Propulsion Task Based Collateral Damage
More informationDIAGNOSIS OF ROLLING ELEMENT BEARING FAULT IN BEARING-GEARBOX UNION SYSTEM USING WAVELET PACKET CORRELATION ANALYSIS
DIAGNOSIS OF ROLLING ELEMENT BEARING FAULT IN BEARING-GEARBOX UNION SYSTEM USING WAVELET PACKET CORRELATION ANALYSIS Jing Tian and Michael Pecht Prognostics and Health Management Group Center for Advanced
More informationRotating 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 information1733. Rolling element bearings fault diagnosis based on correlated kurtosis kurtogram
1733. Rolling element bearings fault diagnosis based on correlated kurtosis kurtogram Xinghui Zhang 1, Jianshe Kang 2, Jinsong Zhao 3, Jianmin Zhao 4, Hongzhi Teng 5 1, 2, 4, 5 Mechanical Engineering College,
More informationBearing 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 informationEffect of parameters setting on performance of discrete component removal (DCR) methods for bearing faults detection
Effect of parameters setting on performance of discrete component removal (DCR) methods for bearing faults detection Bovic Kilundu, Agusmian Partogi Ompusunggu 2, Faris Elasha 3, and David Mba 4,2 Flanders
More informationVIBRATIONAL 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 informationDavid Siegel Masters Student University of Cincinnati. IAB 17, May 5 7, 2009 Ford & UM
Alternator Health Monitoring For Vehicle Applications David Siegel Masters Student University of Cincinnati Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection
More informationAn 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 informationAPPLICATION 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 informationA 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 informationAutomated Bearing Wear Detection
Mike Cannon DLI Engineering Automated Bearing Wear Detection DLI Engr Corp - 1 DLI Engr Corp - 2 Vibration: an indicator of machine condition Narrow band Vibration Analysis DLI Engr Corp - 3 Vibration
More informationFAULT 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 informationOf interest in the bearing diagnosis are the occurrence frequency and amplitude of such oscillations.
BEARING DIAGNOSIS Enveloping is one of the most utilized methods to diagnose bearings. This technique is based on the constructive characteristics of the bearings and is able to find shocks and friction
More informationHow to Use the Method of Multivariate Statistical Analysis Into the Equipment State Monitoring. Chunhua Yang
4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 205) How to Use the Method of Multivariate Statistical Analysis Into the Equipment State Monitoring
More informationTime-Frequency Enhancement Technique for Bevel Gear Fault Diagnosis
Time-Frequency Enhancement Technique for Bevel Gear Fault Diagnosis Dennis Hartono 1, Dunant Halim 1, Achmad Widodo 2 and Gethin Wyn Roberts 3 1 Department of Mechanical, Materials and Manufacturing Engineering,
More informationFault 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 informationSIGNAL PROCESSING OF POWER QUALITY DISTURBANCES
SIGNAL PROCESSING OF POWER QUALITY DISTURBANCES MATH H. J. BOLLEN IRENE YU-HUA GU IEEE PRESS SERIES I 0N POWER ENGINEERING IEEE PRESS SERIES ON POWER ENGINEERING MOHAMED E. EL-HAWARY, SERIES EDITOR IEEE
More informationWavelet 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 informationSEPARATING 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 informationInformation Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals
Information Reconstruction Method for Improved Clustering and Diagnosis of Generic Gearbox Signals Fangji Wu,, Jay Lee State Key Laboratory for Manufacturing Systems Engineering, Research Institute of
More informationDetection of Wind Turbine Gear Tooth Defects Using Sideband Energy Ratio
Wind energy resource assessment and forecasting Detection of Wind Turbine Gear Tooth Defects Using Sideband Energy Ratio J. Hanna Lead Engineer/Technologist jesse.hanna@ge.com C. Hatch Principal Engineer/Technologist
More informationWavelet 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 informationVibration Signal Pre-processing For Spall Size Estimation in Rolling Element Bearings Using Autoregressive Inverse Filtration
Vibration Signal Pre-processing For Spall Size Estimation in Rolling Element Bearings Using Autoregressive Inverse Filtration Nader Sawalhi 1, Wenyi Wang 2, Andrew Becker 2 1 Prince Mahammad Bin Fahd University,
More informationVIBROACOUSTIC 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 informationUniversity 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 informationMachinery Prognostics and Health Management. Paolo Albertelli Politecnico di Milano
Machinery Prognostics and Health Management Paolo Albertelli Politecnico di Milano (paollo.albertelli@polimi.it) Goals of the Presentation maintenance approaches and companies that deals with manufacturing
More informationAutomobile Independent Fault Detection based on Acoustic Emission Using FFT
SINCE2011 Singapore International NDT Conference & Exhibition, 3-4 November 2011 Automobile Independent Fault Detection based on Acoustic Emission Using FFT Hamid GHADERI 1, Peyman KABIRI 2 1 Intelligent
More informationA 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 informationCondition 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 informationFault Diagnosis of Wind Turbine Gearboxes Using Enhanced Tacholess Order Tracking
Fault Diagnosis of Wind Turbine Gearboxes Using Enhanced Tacholess Order Tracking M ohamed A. A. Ismail 1, Nader Sawalhi 2 and Andreas Bierig 1 1 German Aerospace Centre (DLR), Institute of Flight Systems,
More informationPrognostic Health Monitoring for Wind Turbines
Prognostic Health Monitoring for Wind Turbines Wei Qiao, Ph.D. Director, Power and Energy Systems Laboratory Associate Professor, Department of ECE University of Nebraska Lincoln Lincoln, NE 68588-511
More informationFault 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 informationEnhanced 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 informationFault Diagnosis of Rolling Bearing Based on Feature Extraction and Neural Network Algorithm
Fault Diagnosis of Rolling Bearing Based on Feature Extraction and Neural Network Algorithm MUHAMMET UNAL a, MUSTAFA DEMETGUL b, MUSTAFA ONAT c, HALUK KUCUK b a) Department of Computer and Control Education,
More informationCepstral Removal of Periodic Spectral Components from Time Signals
Cepstral Removal of Periodic Spectral Components from Time Signals Robert B. Randall 1, Nader Sawalhi 2 1 School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney 252,
More informationAdvanced Machine Diagnostics and Condition Monitoring
The Australian Acoustical Society and the Department of Mechanical Engineering, Curtin University, present: Acoustics 2012 Fremantle. Pre-conference workshop on: Advanced Machine Diagnostics and Condition
More informationEnayet B. Halim, Sirish L. Shah and M.A.A. Shoukat Choudhury. Department of Chemical and Materials Engineering University of Alberta
Detection and Quantification of Impeller Wear in Tailing Pumps and Detection of faults in Rotating Equipment using Time Frequency Averaging across all Scales Enayet B. Halim, Sirish L. Shah and M.A.A.
More informationAutomatic bearing fault classification combining statistical classification and fuzzy logic
Automatic bearing fault classification combining statistical classification and fuzzy logic T. Lindh, J. Ahola, P. Spatenka, A-L Rautiainen Tuomo.Lindh@lut.fi Lappeenranta University of Technology Lappeenranta,
More informationDetection of gear defects by resonance demodulation detected by wavelet transform and comparison with the kurtogram
Detection of gear defects by resonance demodulation detected by wavelet transform and comparison with the kurtogram K. BELAID a, A. MILOUDI b a. Département de génie mécanique, faculté du génie de la construction,
More informationVIBRATION MONITORING TECHNIQUES INVESTIGATED FOR THE MONITORING OF A CH-47D SWASHPLATE BEARING
VIBRATION MONITORING TECHNIQUES INVESTIGATED FOR THE MONITORING OF A CH-47D SWASHPLATE BEARING Paul Grabill paul.grabill@iac-online.com Intelligent Automation Corporation Poway, CA 9064 Jonathan A. Keller
More informationEasyChair Preprint. Wavelet Transform Application For Detection of Bearing Fault
EasyChair Preprint 300 Wavelet Transform Application For Detection of Bearing Fault Erol Uyar, Burak Yeşilyurt and Musa Alci EasyChair preprints are intended for rapid dissemination of research results
More informationEnvelope 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 informationVibration 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 informationShaft 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 informationGuan, L, Gu, F, Shao, Y, Fazenda, BM and Ball, A
Gearbox fault diagnosis under different operating conditions based on time synchronous average and ensemble empirical mode decomposition Guan, L, Gu, F, Shao, Y, Fazenda, BM and Ball, A Title Authors Type
More informationGearbox Vibration Source Separation by Integration of Time Synchronous Averaged Signals
Gearbox Vibration Source Separation by Integration of Time Synchronous Averaged Signals Guicai Zhang and Joshua Isom United Technologies Research Center, East Hartford, CT 06108, USA zhangg@utrc.utc.com
More informationVibration 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 informationChapter 4 SPEECH ENHANCEMENT
44 Chapter 4 SPEECH ENHANCEMENT 4.1 INTRODUCTION: Enhancement is defined as improvement in the value or Quality of something. Speech enhancement is defined as the improvement in intelligibility and/or
More informationWheel Health Monitoring Using Onboard Sensors
Wheel Health Monitoring Using Onboard Sensors Brad M. Hopkins, Ph.D. Project Engineer Condition Monitoring Amsted Rail Company, Inc. 1 Agenda 1. Motivation 2. Overview of Methodology 3. Application: Wheel
More informationMultimedia Signal Processing: Theory and Applications in Speech, Music and Communications
Brochure More information from http://www.researchandmarkets.com/reports/569388/ Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications Description: Multimedia Signal
More informationApplication of Wavelet Packet Transform (WPT) for Bearing Fault Diagnosis
International Conference on Automatic control, Telecommunications and Signals (ICATS5) University BADJI Mokhtar - Annaba - Algeria - November 6-8, 5 Application of Wavelet Packet Transform (WPT) for Bearing
More informationGearbox Fault Diagnosis using Independent Angular Re-Sampling Technique, Wavelet Packet Decomposition and ANN
International Journal of Research and Scientific Innovation (IJRSI) Volume IV, Issue IV, April 217 ISSN 2321 27 Gearbox Fault Diagnosis using Independent Angular Re-Sampling Technique, Wavelet Packet Decomposition
More informationCurrent-Based Diagnosis for Gear Tooth Breaks in Wind Turbine Gearboxes
Current-Based Diagnosis for Gear Tooth Breaks in Wind Turbine Gearboxes Dingguo Lu Student Member, IEEE Department of Electrical Engineering University of Nebraska-Lincoln Lincoln, NE 68588-5 USA Stan86@huskers.unl.edu
More informationIET (2014) IET.,
Feng, Yanhui and Qiu, Yingning and Infield, David and Li, Jiawei and Yang, Wenxian (2014) Study on order analysis for condition monitoring wind turbine gearbox. In: Proceedings of IET Renewable Power Generation
More informationComparison of Fault Detection Techniques for an Ocean Turbine
Comparison of Fault Detection Techniques for an Ocean Turbine Mustapha Mjit, Pierre-Philippe J. Beaujean, and David J. Vendittis Florida Atlantic University, SeaTech, 101 North Beach Road, Dania Beach,
More informationOn-Line Monitoring of Grinding Machines Gianluca Pezzullo Sponsored by: Alfa Romeo Avio
11 OnLine Monitoring of Grinding Machines Gianluca Pezzullo Sponsored by: Alfa Romeo Avio Introduction The objective of this project is the development and optimization of a sensor system for machine tool
More informationRetComm 1.0: Real Time Condition Monitoring of Rotating Machinery Failure
RetComm 1.0: Real Time Condition Monitoring of Rotating Machinery Failure Lee Chun Hong 1, Abd Kadir Mahamad 1,, *, and Sharifah Saon 1, 1 Faculty of Electrical and Electronic Engineering, Universiti Tun
More informationFourier and Wavelets
Fourier and Wavelets Why do we need a Transform? Fourier Transform and the short term Fourier (STFT) Heisenberg Uncertainty Principle The continues Wavelet Transform Discrete Wavelet Transform Wavelets
More informationStudy of Improper Chamfering and Pitting Defects of Spur Gear Faults Using Frequency Domain Technique
Study of Improper Chamfering and Pitting Defects of Spur Gear Faults Using Frequency Domain Technique 1 Vijay Kumar Karma, 2 Govind Maheshwari Mechanical Engineering Department Institute of Engineering
More informationTransient fault Detection and Analysis of Distribution Transformers using Transform based Techniques
Transient fault Detection and Analysis of Distribution Transformers using Transform based Techniques Muhammad Kamran Bilal Masood Muhammad Adeel Afzal Department of Electrical Engineering Department of
More informationVibration 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 informationDIAGNOSIS OF GEARBOX FAULT USING ACOUSTIC SIGNAL
International Journal of Mechanical Engineering and Technology (IJMET) Volume 9, Issue 4, April 2018, pp. 258 266, Article ID: IJMET_09_04_030 Available online at http://www.iaeme.com/ijmet/issues.asp?jtype=ijmet&vtype=9&itype=4
More informationSOUND SOURCE RECOGNITION AND MODELING
SOUND SOURCE RECOGNITION AND MODELING CASA seminar, summer 2000 Antti Eronen antti.eronen@tut.fi Contents: Basics of human sound source recognition Timbre Voice recognition Recognition of environmental
More informationApplications of Music Processing
Lecture Music Processing Applications of Music Processing Christian Dittmar International Audio Laboratories Erlangen christian.dittmar@audiolabs-erlangen.de Singing Voice Detection Important pre-requisite
More informationResearch Article High Frequency Acceleration Envelope Power Spectrum for Fault Diagnosis on Journal Bearing using DEWESOFT
Research Journal of Applied Sciences, Engineering and Technology 8(10): 1225-1238, 2014 DOI:10.19026/rjaset.8.1088 ISSN: 2040-7459; e-issn: 2040-7467 2014 Maxwell Scientific Publication Corp. Submitted:
More informationCONDITIONING MONITORING OF GEARBOX USING VIBRATION AND ACOUSTIC SIGNALS
CONDITIONING MONITORING OF GEARBOX USING VIBRATION AND ACOUSTIC SIGNALS Mr. Rohit G. Ghulanavar 1, Prof. M.V. Kharade 2 1 P.G. Student, Dr. J.J.Magdum College of Engineering Jaysingpur, Maharashtra (India)
More informationVibration Monitoring for Defect Diagnosis on a Machine Tool: A Comprehensive Case Study
Vibration Monitoring for Defect Diagnosis on a Machine Tool: A Comprehensive Case Study Mouleeswaran Senthilkumar, Moorthy Vikram and Bhaskaran Pradeep Department of Production Engineering, PSG College
More informationBearing fault diagnosis based on amplitude and phase map of Hermitian wavelet transform
Journal of Mechanical Science and Technology 5 (11) (011) 731~740 www.springerlink.com/content/1738-494x DOI 10.1007/s106-011-0717-0 Bearing fault diagnosis based on amplitude and phase map of Hermitian
More informationSpeech Signal Analysis
Speech Signal Analysis Hiroshi Shimodaira and Steve Renals Automatic Speech Recognition ASR Lectures 2&3 14,18 January 216 ASR Lectures 2&3 Speech Signal Analysis 1 Overview Speech Signal Analysis for
More informationGEARBOX FAULT DETECTION BY MOTOR CURRENT SIGNATURE ANALYSIS. A. R. Mohanty
ICSV14 Cairns Australia 9-12 July, 2007 GEARBOX FAULT DETECTION BY MOTOR CURRENT SIGNATURE ANALYSIS A. R. Mohanty Department of Mechanical Engineering Indian Institute of Technology, Kharagpur Kharagpur,
More informationDiagnostics of Bearing Defects Using Vibration Signal
Diagnostics of Bearing Defects Using Vibration Signal Kayode Oyeniyi Oyedoja Abstract Current trend toward industrial automation requires the replacement of supervision and monitoring roles traditionally
More informationDimension Reduction of the Modulation Spectrogram for Speaker Verification
Dimension Reduction of the Modulation Spectrogram for Speaker Verification Tomi Kinnunen Speech and Image Processing Unit Department of Computer Science University of Joensuu, Finland Kong Aik Lee and
More informationVibration-based Fault Detection of Wind Turbine Gearbox using Empirical Mode Decomposition Method
International Journal of Science and Advanced Technology (ISSN -8386) Volume 3 No 8 August 3 Vibration-based Fault Detection of Wind Turbine Gearbox using Empirical Mode Decomposition Method E.M. Ashmila
More informationFrequency Response Analysis of Deep Groove Ball Bearing
Frequency Response Analysis of Deep Groove Ball Bearing K. Raghavendra 1, Karabasanagouda.B.N 2 1 Assistant Professor, Department of Mechanical Engineering, Bellary Institute of Technology & Management,
More informationAutomatic Fault Classification of Rolling Element Bearing using Wavelet Packet Decomposition and Artificial Neural Network
Automatic Fault Classification of Rolling Element Bearing using Wavelet Packet Decomposition and Artificial Neural Network Manish Yadav *1, Sulochana Wadhwani *2 1, 2* Department of Electrical Engineering,
More informationAssistant Professor, Department of Mechanical Engineering, Institute of Engineering & Technology, DAVV University, Indore, Madhya Pradesh, India
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Analysis of Spur Gear Faults using Frequency Domain Technique Rishi Kumar Sharma 1, Mr. Vijay Kumar Karma 2 1 Student, Department
More informationCurrent-Based Online Bearing Fault Diagnosis for Direct-Drive Wind Turbines via Spectrum Analysis and Impulse Detection
Current-Based Online Bearing Fault Diagnosis for Direct-Drive Wind Turbines via Spectrum Analysis and Impulse Detection Xiang Gong, Member, IEEE, and Wei Qiao, Member, IEEE Abstract--Online fault diagnosis
More informationReview 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 informationRoberto Togneri (Signal Processing and Recognition Lab)
Signal Processing and Machine Learning for Power Quality Disturbance Detection and Classification Roberto Togneri (Signal Processing and Recognition Lab) Power Quality (PQ) disturbances are broadly classified
More informationLabVIEW Based Condition Monitoring Of Induction Motor
RESEARCH ARTICLE OPEN ACCESS LabVIEW Based Condition Monitoring Of Induction Motor 1PG student Rushikesh V. Deshmukh Prof. 2Asst. professor Anjali U. Jawadekar Department of Electrical Engineering SSGMCE,
More informationOPEN-CIRCUIT FAULT DIAGNOSIS IN THREE-PHASE POWER RECTIFIER DRIVEN BY A VARIABLE VOLTAGE SOURCE. Mehdi Rahiminejad
OPEN-CIRCUIT FAULT DIAGNOSIS IN THREE-PHASE POWER RECTIFIER DRIVEN BY A VARIABLE VOLTAGE SOURCE by Mehdi Rahiminejad B.Sc.E, University of Tehran, 1999 M.Sc.E, Amirkabir University of Technology, 2002
More informationAlso, 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 informationDIAGNOSIS 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 informationNovel Spectral Kurtosis Technology for Adaptive Vibration Condition Monitoring of Multi Stage Gearboxes
Novel Spectral Kurtosis Technology for Adaptive Vibration Condition Monitoring of Multi Stage Gearboxes Len Gelman *a, N. Harish Chandra a, Rafal Kurosz a, Francesco Pellicano b, Marco Barbieri b and Antonio
More informationAn Introduction to Time Waveform Analysis
An Introduction to Time Waveform Analysis Timothy A Dunton, Universal Technologies Inc. Abstract In recent years there has been a resurgence in the use of time waveform analysis techniques. Condition monitoring
More informationA Novel Fault Diagnosis Method for Rolling Element Bearings Using Kernel Independent Component Analysis and Genetic Algorithm Optimized RBF Network
Research Journal of Applied Sciences, Engineering and Technology 6(5): 895-899, 213 ISSN: 24-7459; e-issn: 24-7467 Maxwell Scientific Organization, 213 Submitted: October 3, 212 Accepted: December 15,
More informationApplication Note. Monitoring strategy Diagnosing gearbox damage
Application Note Monitoring strategy Diagnosing gearbox damage Application Note Monitoring strategy Diagnosing gearbox damage ABSTRACT This application note demonstrates the importance of a systematic
More informationBearing Fault Detection and Diagnosis with m+p SO Analyzer
www.mpihome.com Application Note Bearing Fault Detection and Diagnosis with m+p SO Analyzer Early detection and diagnosis of bearing faults FFT analysis Envelope analysis m+p SO Analyzer dynamic data acquisition,
More informationROLLING BEARING FAULT DIAGNOSIS USING RECURSIVE AUTOCORRELATION AND AUTOREGRESSIVE ANALYSES
OLLING BEAING FAUL DIAGNOSIS USING ECUSIVE AUOCOELAION AND AUOEGESSIVE ANALYSES eza Golafshan OS Bearings Inc., &D Center, 06900, Ankara, urkey Email: reza.golafshan@ors.com.tr Kenan Y. Sanliturk Istanbul
More informationNovel Technology Based on the Spectral Kurtosis and Wavelet Transform for Rolling Bearing Diagnosis
Novel Technology Based on the Spectral Kurtosis and Wavelet Transform for Rolling Bearing Diagnosis Len Gelman 1, Tejas H. Patel 2., Gabrijel Persin 3, and Brian Murray 4 Allan Thomson 5 1,2,3 School of
More informationCompensating for speed variation by order tracking with and without a tacho signal
Compensating for speed variation by order tracking with and without a tacho signal M.D. Coats and R.B. Randall, School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney
More informationFault detection of conditioned thrust bearing groove race defect using vibration signal and wavelet transform
ISSN 2395-1621 Fault detection of conditioned thrust bearing groove race defect using vibration signal and wavelet transform #1 G.R. Chaudhary, #2 S.V.Kshirsagar 1 gauraoc@gmail.com 2 svkshirsagar@aissmscoe.com
More informationA shock filter for bearing slipping detection and multiple damage diagnosis
A shock filter for bearing slipping detection and multiple damage diagnosis Bechir Badri ; Marc Thomas and Sadok Sassi Abstract- This paper describes a filter that is designed to track shocks in the time
More informationDETECTION AND CLASSIFICATION OF POWER QUALITY DISTURBANCES
DETECTION AND CLASSIFICATION OF POWER QUALITY DISTURBANCES Ph.D. THESIS by UTKARSH SINGH INDIAN INSTITUTE OF TECHNOLOGY ROORKEE ROORKEE-247 667 (INDIA) OCTOBER, 2017 DETECTION AND CLASSIFICATION OF POWER
More informationEmphasising bearing tones for prognostics
Emphasising bearing tones for prognostics BEARING PROGNOSTICS FEATURE R Klein, E Rudyk, E Masad and M Issacharoff Submitted 280710 Accepted 200411 Bearing failure is one of the foremost causes of breakdowns
More informationIntroduction to Wavelet Transform. Chapter 7 Instructor: Hossein Pourghassem
Introduction to Wavelet Transform Chapter 7 Instructor: Hossein Pourghassem Introduction Most of the signals in practice, are TIME-DOMAIN signals in their raw format. It means that measured signal is a
More informationWavelet based demodulation of vibration signals generated by defects in rolling element bearings
Shock and Vibration 9 (2002) 293 306 293 IOS Press Wavelet based demodulation of vibration signals generated by defects in rolling element bearings C.T. Yiakopoulos and I.A. Antoniadis National Technical
More informationIntroducing COVAREP: A collaborative voice analysis repository for speech technologies
Introducing COVAREP: A collaborative voice analysis repository for speech technologies John Kane Wednesday November 27th, 2013 SIGMEDIA-group TCD COVAREP - Open-source speech processing repository 1 Introduction
More informationDIAGNOSIS OF STATOR FAULT IN ASYNCHRONOUS MACHINE USING SOFT COMPUTING METHODS
DIAGNOSIS OF STATOR FAULT IN ASYNCHRONOUS MACHINE USING SOFT COMPUTING METHODS K. Vinoth Kumar 1, S. Suresh Kumar 2, A. Immanuel Selvakumar 1 and Vicky Jose 1 1 Department of EEE, School of Electrical
More information