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Volumn 13, Issue 11, 2013, Pages 15726-15746

A Doppler transient model based on the laplace wavelet and spectrum correlation assessment for locomotive bearing fault diagnosis

Author keywords

Doppler transient model; Fault diagnosis; Laplace wavelet; Locomotive bearings; Spectrum correlation assessment

Indexed keywords

BEARING FAULT DIAGNOSIS; FREQUENCY DOMAINS; IDENTIFIED PARAMETER; LAPLACE WAVELET; SIMULATED SIGNALS; SIMULATED TRANSIENTS; SPECTRUM CORRELATIONS; TRANSIENT MODEL;

EID: 84887863490     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s131115726     Document Type: Article
Times cited : (40)

References (25)
  • 1
    • 79951581707 scopus 로고    scopus 로고
    • EEMD method and WNN for fault diagnosis of locomotive roller bearings
    • Lei, Y. G.; He, Z. J.; Zi, Y. Y. EEMD method and WNN for fault diagnosis of locomotive roller bearings. Expert Syst. Appl. 2011, 38, 7334-7341.
    • (2011) Expert Syst. Appl , vol.38 , pp. 7334-7341
    • Lei, Y.G.1    He, Z.J.2    Zi, Y.Y.3
  • 2
    • 84865350102 scopus 로고    scopus 로고
    • A monotonic degradation assessment index of rolling bearings using fuzzy support vector data description and running time
    • Shen, Z. J.; He, Z. J.; Chen, X. F.; Sun, C.; Liu, Z. W. A monotonic degradation assessment index of rolling bearings using fuzzy support vector data description and running time. Sensors 2012, 12, 10109-10135.
    • (2012) Sensors , vol.12 , pp. 10109-10135
    • Shen, Z.J.1    He, Z.J.2    Chen, X.F.3    Sun, C.4    Liu, Z.W.5
  • 3
    • 84880756282 scopus 로고    scopus 로고
    • A fast and adaptive varying-scale morphological analysis method for rolling element bearing fault diagnosis
    • Shen, C. Q.; He, Q. B.; Kong, F. R.; Tse, P. W. A fast and adaptive varying-scale morphological analysis method for rolling element bearing fault diagnosis. Proc. Inst. Mech. Eng. Part C J. Eng. Mech. Eng. Sci. 2013, 227, 1362-1370.
    • (2013) Proc. Inst. Mech. Eng. Part C J. Eng. Mech. Eng. Sci , vol.227 , pp. 1362-1370
    • Shen, C.Q.1    He, Q.B.2    Kong, F.R.3    Tse, P.W.4
  • 4
    • 0031387786 scopus 로고    scopus 로고
    • Neural Pattern Identification of Railroad Wheel-Bearing Faults from Audible Acoustic Signals: Comparison of FFT, CWT and DWT Features
    • In, Orlando, FL, USA, 21 April
    • Choe, H. C.; Wan, Y. L.; Chan, A. K. Neural Pattern Identification of Railroad Wheel-Bearing Faults from Audible Acoustic Signals: Comparison of FFT, CWT and DWT Features. In Proceedings of International Society for Optics and Photonics, Orlando, FL, USA, 21 April 1997; pp. 480-496.
    • (1997) Proceedings of International Society for Optics and Photonics , pp. 480-496
    • Choe, H.C.1    Wan, Y.L.2    Chan, A.K.3
  • 5
    • 0031597019 scopus 로고    scopus 로고
    • On-Board Real-Time Bearing Defects Detection and Monitoring
    • In, Philadelphia, PA, USA, 16 April
    • Sneed, W. H.; Smith, R. L. On-Board Real-Time Bearing Defects Detection and Monitoring. In Proceedings of the 1998 ASME/IEEE Joint Railroad Conference, Philadelphia, PA, USA, 16 April 1998; pp. 149-153.
    • (1998) Proceedings of the 1998 ASME/IEEE Joint Railroad Conference , pp. 149-153
    • Sneed, W.H.1    Smith, R.L.2
  • 6
    • 84876891964 scopus 로고    scopus 로고
    • Reduction of Doppler effect for the needs of wayside condition monitoring system of railway vehicles
    • Dybala, J.; Radkowski, S. Reduction of Doppler effect for the needs of wayside condition monitoring system of railway vehicles. Mech. Syst. Signal Process. 2012, 38, 125-136.
    • (2012) Mech. Syst. Signal Process , vol.38 , pp. 125-136
    • Dybala, J.1    Radkowski, S.2
  • 7
    • 0024705330 scopus 로고
    • Time-frequency distributions-a review
    • Cohen, L. Time-frequency distributions-a review. Proc. IEEE 1989, 77, 941-981.
    • (1989) Proc. IEEE , vol.77 , pp. 941-981
    • Cohen, L.1
  • 8
    • 84890506301 scopus 로고    scopus 로고
    • Matching demodulation transform and synchrosqueezing in time-frequency analysis
    • doi: 10. 1109/TSP. 2013. 2276393
    • Wang, S.; Chen, X.; Cai, G.; Chen, B.; Li, X.; He, Z. Matching demodulation transform and synchrosqueezing in time-frequency analysis. IEEE Trans. Signal Process. 2013, doi: 10. 1109/TSP. 2013. 2276393.
    • (2013) IEEE Trans. Signal Process
    • Wang, S.1    Chen, X.2    Cai, G.3    Chen, B.4    Li, X.5    He, Z.6
  • 9
    • 33646534620 scopus 로고    scopus 로고
    • A review on machinery diagnostics and prognostics implementing condition-based maintenance
    • Jardine, A. K. S.; Lin, D. M.; Banjevic, D. A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech. Syst. Signal Process. 2006, 20, 1483-1510.
    • (2006) Mech. Syst. Signal Process , vol.20 , pp. 1483-1510
    • Jardine, A.K.S.1    Lin, D.M.2    Banjevic, D.3
  • 10
    • 84872805224 scopus 로고    scopus 로고
    • Health assessment of cooling fan bearings using wavelet-based filtering
    • Miao, Q.; Tang, C.; Liang, W.; Michael, P. Health assessment of cooling fan bearings using wavelet-based filtering. Sensors 2013, 13, 274-291.
    • (2013) Sensors , vol.13 , pp. 274-291
    • Miao, Q.1    Tang, C.2    Liang, W.3    Michael, P.4
  • 11
    • 0346306460 scopus 로고    scopus 로고
    • Application of the wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography
    • Peng, Z. K.; Chu, F. L. Application of the wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography. Mech. Syst. Signal Process. 2004, 18, 199-221.
    • (2004) Mech. Syst. Signal Process , vol.18 , pp. 199-221
    • Peng, Z.K.1    Chu, F.L.2
  • 12
    • 84873028042 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier
    • Shen, C. Q.; Wang, D.; Kong, F. R.; Tse, P. W. Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier. Measurement 2013, 46, 1551-1564.
    • (2013) Measurement , vol.46 , pp. 1551-1564
    • Shen, C.Q.1    Wang, D.2    Kong, F.R.3    Tse, P.W.4
  • 13
    • 84887433963 scopus 로고    scopus 로고
    • Wavelets for fault diagnosis of rotary machines: A review with applications
    • Yan, R.; Gao, R. X.; Chen, X. Wavelets for fault diagnosis of rotary machines: A review with applications. Signal Process. 2014, 96, 1-15.
    • (2014) Signal Process , vol.96 , pp. 1-15
    • Yan, R.1    Gao, R.X.2    Chen, X.3
  • 14
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
    • Huang, N. E.; Shen, Z.; Long, S. R. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. R. Soc. A Math. Phys. Eng. Sci. 1998, 454, 903-995.
    • (1998) Proc. R. Soc. A Math. Phys. Eng. Sci , vol.454 , pp. 903-995
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3
  • 15
    • 34249751601 scopus 로고    scopus 로고
    • Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert-Huang transform
    • Rai, V. K.; Mohanty, A. R. Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert-Huang transform. Mech. Syst. Signal Process. 2007, 21, 2607-2615.
    • (2007) Mech. Syst. Signal Process , vol.21 , pp. 2607-2615
    • Rai, V.K.1    Mohanty, A.R.2
  • 16
    • 45249116751 scopus 로고    scopus 로고
    • Rotary machine health diagnosis based on empirical mode decomposition
    • doi: 10. 1115/1. 2827360
    • Yan, R. Q.; Gao, R. X. Rotary machine health diagnosis based on empirical mode decomposition. J. Vib. Acoust. Trans. ASME. 2008, 130, doi: 10. 1115/1. 2827360.
    • (2008) J. Vib. Acoust. Trans. ASME , vol.130
    • Yan, R.Q.1    Gao, R.X.2
  • 17
    • 0027842081 scopus 로고
    • Matching pursuit with time-frequency dictionary
    • Mallat, S.; Zhang, Z. Matching pursuit with time-frequency dictionary. IEEE Trans. Signal Process. 1993, 41, 3397-3415.
    • (1993) IEEE Trans. Signal Process , vol.41 , pp. 3397-3415
    • Mallat, S.1    Zhang, Z.2
  • 19
    • 79952314416 scopus 로고    scopus 로고
    • Transient model and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis
    • Wang, S. B.; Huang, W. G.; Zhu, Z. K. Transient model and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis. Mech. Syst. Signal Process. 2011, 25, 1299-1320.
    • (2011) Mech. Syst. Signal Process , vol.25 , pp. 1299-1320
    • Wang, S.B.1    Huang, W.G.2    Zhu, Z.K.3
  • 20
    • 79952143103 scopus 로고    scopus 로고
    • Adaptive parameter identification based on Morlet wavelet and application in gearbox fault feature detection
    • Wang, S.; Zhu, Z. K.; He, Y.; Huang, W. Adaptive parameter identification based on Morlet wavelet and application in gearbox fault feature detection. EURASIP J. Adv. Signal Process. 2010, 2010, 842879.
    • (2010) EURASIP J. Adv. Signal Process , vol.2010 , pp. 842879
    • Wang, S.1    Zhu, Z.K.2    He, Y.3    Huang, W.4
  • 21
    • 84887959563 scopus 로고    scopus 로고
    • Available online, (accessed on 7 November)
    • Inner Product Space, Wikipedia. Available online: http://en. wikipedia. org/wiki/Inner_product_ space (accessed on 7 November 2013).
    • (2013) Inner Product Space, Wikipedia
  • 22
    • 84887870765 scopus 로고    scopus 로고
    • Available online, (accessed on 25 July)
    • Doppler Effect, Wikipedia. Available online: http://en. wikipedia. org/wiki/Doppler_effect (accessed on 25 July 2013).
    • (2013) Doppler Effect, Wikipedia
  • 24
    • 0036657970 scopus 로고    scopus 로고
    • Acoustic holography method for the identification of moving sound source
    • Yang, D. G.; Zheng, S. F.; Luo, Y. G.; Lian, X. M.; Jiang, X. Y. Acoustic holography method for the identification of moving sound source. Acta Acust. 2002, 4, 357-362.
    • (2002) Acta Acust , vol.4 , pp. 357-362
    • Yang, D.G.1    Zheng, S.F.2    Luo, Y.G.3    Lian, X.M.4    Jiang, X.Y.5
  • 25
    • 39749161545 scopus 로고    scopus 로고
    • A joint wavelet lifting and independent component analysis approach to fault detection of rolling element bearings
    • doi: 10. 1088/0964-1726/16/5/056
    • Fan, X. F.; Liang, M.; Yeap, T. H.; Kind, B. A joint wavelet lifting and independent component analysis approach to fault detection of rolling element bearings. Smart Mater. Struct. 2007, 16, 1973, doi: 10. 1088/0964-1726/16/5/056.
    • (2007) Smart Mater. Struct , vol.16 , pp. 1973
    • Fan, X.F.1    Liang, M.2    Yeap, T.H.3    Kind, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.