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Volumn 331, Issue 15, 2012, Pages 3663-3674

A fault diagnosis scheme of rolling element bearing based on near-field acoustic holography and gray level co-occurrence matrix

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY RATE; ACOUSTIC IMAGES; BEARING CONDITIONS; BEARING FAULT DIAGNOSIS; CHARACTERISTIC FREQUENCIES; CONTACT MEASUREMENTS; F-SCORE; FAST FOURIER TRANSFORM (FFT); FAULT DIAGNOSIS SCHEMES; FAULT PATTERNS; FEATURE SUBSET; GLCM FEATURE; GRAY LEVEL CO-OCCURRENCE MATRIX; MULTI-CLASS SUPPORT VECTOR MACHINES; NEARFIELD ACOUSTIC HOLOGRAPHY; NONCONTACT MEASUREMENTS; ROLLING ELEMENT BEARING; TEST COST; VIBRATION SIGNAL ANALYSIS;

EID: 84860366061     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2012.03.008     Document Type: Article
Times cited : (70)

References (39)
  • 1
    • 0034206997 scopus 로고    scopus 로고
    • Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis
    • J. Lin, and L. Qu Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis Journal of Sound and Vibration 234 1 2000 135 148
    • (2000) Journal of Sound and Vibration , vol.234 , Issue.1 , pp. 135-148
    • Lin, J.1    Qu, L.2
  • 3
    • 3142611511 scopus 로고    scopus 로고
    • A comparative study on time-frequency feature of cracked rotor by Wigner-Ville distribution and wavelet transform
    • J. Zhou, and J. Chen A comparative study on time-frequency feature of cracked rotor by Wigner-Ville distribution and wavelet transform Journal of Sound and Vibration 276 1-2 2004 1 11
    • (2004) Journal of Sound and Vibration , vol.276 , Issue.12 , pp. 1-11
    • Zhou, J.1    Chen, J.2
  • 4
    • 0035456236 scopus 로고    scopus 로고
    • The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals
    • DOI 10.1006/mssp.2001.1415
    • R.B. Randall, J. Antoni, and S. Chobsaard The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals Mechanical Systems and Signal Processing 15 5 2001 945 962 (Pubitemid 33112620)
    • (2001) Mechanical Systems and Signal Processing , vol.15 , Issue.5 , pp. 945-962
    • Randall, R.B.1    Antoni, J.2    Chobsaard, S.3
  • 5
    • 2942525326 scopus 로고    scopus 로고
    • Bearing fault diagnosis based on wavelet transform and fuzzy inference
    • X. Lou, and K.A. Loparo Bearing fault diagnosis based on wavelet transform and fuzzy inference Mechanical Systems and Signal Processing 18 2004 1077 1095
    • (2004) Mechanical Systems and Signal Processing , vol.18 , pp. 1077-1095
    • Lou, X.1    Loparo, K.A.2
  • 6
    • 18144399334 scopus 로고    scopus 로고
    • A comparison study of improved Hilbert-Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing
    • DOI 10.1016/j.ymssp.2004.01.006, PII S0888327004000111
    • Z.K. Peng, P.W. Tse, and F.L. Chu A comparison study of improved Hilbert-Huang transform and wavelet transform: application to fault diagnosis for rolling bearing Mechanical Systems and Signal Processing 19 5 2005 974 988 (Pubitemid 40612481)
    • (2005) Mechanical Systems and Signal Processing , vol.19 , Issue.5 , pp. 974-988
    • Peng, Z.K.1    Tse, P.W.2    Chu, F.L.3
  • 7
    • 64149130713 scopus 로고    scopus 로고
    • Experimental diagnostics of ball bearings using statistical and spectral methods
    • T. Karacay, and N. Akturk Experimental diagnostics of ball bearings using statistical and spectral methods Tribology International 42 2009 836 843
    • (2009) Tribology International , vol.42 , pp. 836-843
    • Karacay, T.1    Akturk, N.2
  • 8
    • 69249153422 scopus 로고    scopus 로고
    • Rolling bearing fault classification based on envelope spectrum and support vector machine
    • L. GUO, and J. Chen Rolling bearing fault classification based on envelope spectrum and support vector machine Journal of Vibration and Control 15 9 2009 1349 1363
    • (2009) Journal of Vibration and Control , vol.15 , Issue.9 , pp. 1349-1363
    • Guo, L.1    Chen, J.2
  • 9
    • 34249733154 scopus 로고    scopus 로고
    • The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis
    • DOI 10.1016/j.ymssp.2006.12.002, PII S0888327006002603
    • N. Sawalhi, R.B. Randall, and H. Endo The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis Mechanical Systems and Signal Processing 21 2007 2616 2633 (Pubitemid 46829751)
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.6 , pp. 2616-2633
    • Sawalhi, N.1    Randall, R.B.2    Endo, H.3
  • 10
    • 0035520683 scopus 로고    scopus 로고
    • A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution
    • DOI 10.1006/mssp.2000.1338
    • N. Baydar, and A. Ball A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution Mechanical Systems and Signal Processing 15 6 2001 1091 1107 (Pubitemid 34162234)
    • (2001) Mechanical Systems and Signal Processing , vol.15 , Issue.6 , pp. 1091-1107
    • Baydar, N.1    Ball, A.2
  • 11
    • 0037961681 scopus 로고    scopus 로고
    • Detection of gear failures via vibration and acoustic signals using wavelet transform
    • N. Baydar, and A. Ball Detection of gear failures via vibration and acoustic signals using wavelet transform Mechanical Systems and Signal Processing 17 4 2003 787 804
    • (2003) Mechanical Systems and Signal Processing , vol.17 , Issue.4 , pp. 787-804
    • Baydar, N.1    Ball, A.2
  • 12
    • 0033747150 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery through visualisation of sound signals
    • K. Shibata, A. Takahashi, and T. Shirai Fault diagnosis of rotating machinery through visualisation of sound signals Mehanical Systems and Signal Processing 14 2 2000 229 241
    • (2000) Mehanical Systems and Signal Processing , vol.14 , Issue.2 , pp. 229-241
    • Shibata, K.1    Takahashi, A.2    Shirai, T.3
  • 13
    • 4344689113 scopus 로고    scopus 로고
    • An approach to fault diagnosis of vacuum cleaner motors based on sound analysis
    • U. Benko, J. Petrovcic, and D. Juricic An approach to fault diagnosis of vacuum cleaner motors based on sound analysis Mechanical Systems and Signal Processing 19 2005 427 445
    • (2005) Mechanical Systems and Signal Processing , vol.19 , pp. 427-445
    • Benko, U.1    Petrovcic, J.2    Juricic, D.3
  • 14
    • 0031674597 scopus 로고    scopus 로고
    • Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition
    • PII S0003682X97000182
    • R.B.W. Heng, and M.J.M. Nor Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition Applied Acoustics 53 1-3 1998 211 226 (Pubitemid 128387177)
    • (1998) Applied Acoustics , vol.53 , Issue.1-3 , pp. 211-226
    • Heng, R.B.W.1    Nor, M.J.M.2
  • 16
    • 84883578740 scopus 로고
    • Near-field acoustic holography: Theory of generalized holography and the development of NAH
    • J.D. Maynard, E.G. Willams, and Y. Lee Near-field acoustic holography: theory of generalized holography and the development of NAH Journal of the Acoustical Society of America 78 4 1985 1395 1413
    • (1985) Journal of the Acoustical Society of America , vol.78 , Issue.4 , pp. 1395-1413
    • Maynard, J.D.1    Willams, E.G.2    Lee, Y.3
  • 17
    • 84883572746 scopus 로고
    • Nearfield acoustic holography (NAH), II: Holographic reconstruction algorithms and computer implementation
    • W.A. Veronesi, and J.D. Marnard Nearfield acoustic holography (NAH), II: holographic reconstruction algorithms and computer implementation Journal of the Acoustical Society of America 81 5 1987 1307 1322
    • (1987) Journal of the Acoustical Society of America , vol.81 , Issue.5 , pp. 1307-1322
    • Veronesi, W.A.1    Marnard, J.D.2
  • 18
    • 84871645990 scopus 로고    scopus 로고
    • Application of near field holography-based diagnosis technique in gearbox fault diagnosis
    • doi
    • J.J. Hou, W.K. Jiang, and W.B. Lu Application of near field holography-based diagnosis technique in gearbox fault diagnosis Journal of Vibration and Control 2011 1 11 doi: 10.1177/1077546311428634
    • (2011) Journal of Vibration and Control , pp. 1-11
    • Hou, J.J.1    Jiang, W.K.2    Lu, W.B.3
  • 20
    • 0023826134 scopus 로고
    • Texture discrimination based on an optimal utilization of texture features
    • DOI 10.1016/0031-3203(88)90020-9
    • D.C. He, L. Wang, and J. Gilbert Texture discrimination based on an optimal utilization of texture features Pattern Recognition 21 1988 141 146 (Pubitemid 18648256)
    • (1988) Pattern Recognition , vol.21 , Issue.2 , pp. 141-146
    • He Dong-Chen1    Wang Li2    Guibert Jean3
  • 22
    • 49449116731 scopus 로고    scopus 로고
    • Image retrieval based on the text on co-occurrence matrix
    • G.H. Liu, and J.Y. Yang Image retrieval based on the text on co-occurrence matrix Pattern Recognition 41 12 2008 3521 3527
    • (2008) Pattern Recognition , vol.41 , Issue.12 , pp. 3521-3527
    • Liu, G.H.1    Yang, J.Y.2
  • 23
    • 48749112669 scopus 로고    scopus 로고
    • Image analysis techniques and gray-level co-occurrence matrices (GLCM) for calculating bioturbation indices and characterizing biogenic sedimentary structures
    • C.E. Honeycutt, and R. Plotnick Image analysis techniques and gray-level co-occurrence matrices (GLCM) for calculating bioturbation indices and characterizing biogenic sedimentary structures Computers & Geosciences 34 2008 1461 1472
    • (2008) Computers & Geosciences , vol.34 , pp. 1461-1472
    • Honeycutt, C.E.1    Plotnick, R.2
  • 25
    • 56349089940 scopus 로고    scopus 로고
    • Support vector machines combined with feature selection for breast cancer diagnosis
    • M.F. Akay Support vector machines combined with feature selection for breast cancer diagnosis Expert Systems with Applications 36 2009 3240 3247
    • (2009) Expert Systems with Applications , vol.36 , pp. 3240-3247
    • Akay, M.F.1
  • 26
    • 67349231310 scopus 로고    scopus 로고
    • Using support vector machine with a hybrid feature selection method to the stock trend prediction
    • M.C. Lee Using support vector machine with a hybrid feature selection method to the stock trend prediction Expert Systems with Applications 36 2009 10896 10904
    • (2009) Expert Systems with Applications , vol.36 , pp. 10896-10904
    • Lee, M.C.1
  • 27
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C.J.C. Burges A tutorial on support vector machines for pattern recognition Data Mining and Knowledge Discovery 2 2 1998 121 167 (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 28
    • 0034323731 scopus 로고    scopus 로고
    • Support vector machine techniques for nonlinear equalization
    • DOI 10.1109/78.875477
    • D.J. Sebald, and J.A. Bucklew Support vector machine techniques for nonlinear equalization IEEE Transactions on Signal Processing 48 2000 3217 3226 (Pubitemid 32027347)
    • (2000) IEEE Transactions on Signal Processing , vol.48 , Issue.11 , pp. 3217-3226
    • Sebald, D.J.1    Bucklew, J.A.2
  • 29
    • 22344448898 scopus 로고    scopus 로고
    • Cavitation detection of butterfly valve using support vector machines
    • B.S. Yang, W.W. Hwang, and M.H. Ko Cavitation detection of butterfly valve using support vector machines Journal of Sound and Vibration 287 1-2 2005 25 43
    • (2005) Journal of Sound and Vibration , vol.287 , Issue.12 , pp. 25-43
    • Yang, B.S.1    Hwang, W.W.2    Ko, M.H.3
  • 30
    • 0942289503 scopus 로고    scopus 로고
    • Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
    • B. Samanta Gear fault detection using artificial neural networks and support vector machines with genetic algorithms Mechanical Systems and Signal Processing 18 2004 625 644
    • (2004) Mechanical Systems and Signal Processing , vol.18 , pp. 625-644
    • Samanta, B.1
  • 31
    • 24944444628 scopus 로고    scopus 로고
    • Application research of support vector machines in condition trend prediction of mechanical equipment
    • J.Y. Yang, and Y.Y. Zhang Application research of support vector machines in condition trend prediction of mechanical equipment Lecture Notes in Computer Science 3498 2005 857 864
    • (2005) Lecture Notes in Computer Science , vol.3498 , pp. 857-864
    • Yang, J.Y.1    Zhang, Y.Y.2
  • 32
    • 4344683640 scopus 로고    scopus 로고
    • Condition classification of small reciprocating compressor for refrigerators using artificial neural networks and support vector machines
    • B.S. Yang, W.W. Hwang, and D.J. Kim Condition classification of small reciprocating compressor for refrigerators using artificial neural networks and support vector machines Mechanical Systems and Signal Processing 19 2 2005 371 390
    • (2005) Mechanical Systems and Signal Processing , vol.19 , Issue.2 , pp. 371-390
    • Yang, B.S.1    Hwang, W.W.2    Kim, D.J.3
  • 33
    • 0345566447 scopus 로고    scopus 로고
    • Fault diagnosis using support vector machine with an application in sheet metal stamping operations
    • M. Ge, R. Du, G.C. Zhang, and Y.S. Xu Fault diagnosis using support vector machine with an application in sheet metal stamping operations Mechanical Systems and Signal Processing 18 1 2004 143 159
    • (2004) Mechanical Systems and Signal Processing , vol.18 , Issue.1 , pp. 143-159
    • Ge, M.1    Du, R.2    Zhang, G.C.3    Xu, Y.S.4
  • 34
    • 34249661124 scopus 로고    scopus 로고
    • Support vector machine in machine condition monitoring and fault diagnosis
    • DOI 10.1016/j.ymssp.2006.12.007, PII S0888327007000027
    • A. Widodo, and B.S. Yang Support vector machine in machine condition monitoring and fault diagnosis Mechanical Systems and Signal Processing 21 6 2007 2560 2574 (Pubitemid 46829756)
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.6 , pp. 2560-2574
    • Widodo, A.1    Yang, B.-S.2
  • 35
    • 34047275789 scopus 로고    scopus 로고
    • Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension
    • J.Y. Yang, Y.Y. Zhang, and Y.S. Zhu Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension Mechanical Systems and Signal Processing 21 5 2007 2012 2024
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.5 , pp. 2012-2024
    • Yang, J.Y.1    Zhang, Y.Y.2    Zhu, Y.S.3
  • 36
    • 34548035641 scopus 로고    scopus 로고
    • Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine
    • DOI 10.1016/j.ymssp.2007.02.003, PII S0888327007000349
    • S. Abbasion, A. Rafsanjani, A. Farshidianfar, and N. Irani Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine Mechanical Systems and Signal Processing 21 7 2007 2933 2945 (Pubitemid 47284786)
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.7 , pp. 2933-2945
    • Abbasion, S.1    Rafsanjani, A.2    Farshidianfar, A.3    Irani, N.4
  • 37
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • C.W. Hsu, and C.J. Lin A comparison of methods for multi-class support vector machines IEEE Transactions on Neural Networks 13 2 2002 415 425
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 38
    • 0032594959 scopus 로고    scopus 로고
    • Overview of statistical learning theory
    • V.N. Vapnik Overview of statistical learning theory IEEE Transactions on Neural Networks 10 5 2000 988 999
    • (2000) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1


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