메뉴 건너뛰기




Volumn 25, Issue 8, 2011, Pages 3078-3088

Identification of bearing faults using time domain zero-crossings

Author keywords

Bearing faults; Vibration signal; Zero crossing

Indexed keywords

BEARING DEFECT; BEARING FAULT; DEFECT FREQUENCY; DEFECT TYPE; EARLY DETECTION; ENVELOPE ANALYSIS; MULTILAYER FEEDFORWARD NEURAL NETWORKS; OBSERVATION WINDOW; ROTATIONAL FREQUENCY; SINGLE POINT; SINGLE POINT DEFECTS; SPECTRAL DOMAINS; TIME DOMAIN; TIME-DOMAIN REPRESENTATION; VIBRATION DATA; VIBRATION SIGNAL; VIBRATION SIGNATURE; ZERO-CROSSING FEATURE; ZERO-CROSSINGS;

EID: 80052802541     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2011.06.001     Document Type: Article
Times cited : (104)

References (22)
  • 1
    • 29244467991 scopus 로고    scopus 로고
    • Condition monitoring and fault diagnosis of electrical motors - A review
    • DOI 10.1109/TEC.2005.847955
    • S. Nandi, H.A. Toliyat, and X. Li Condition monitoring and fault diagnosis of electrical motors - a review IEEE Trans. Energy Convers. 20 2005 719 729 (Pubitemid 41830047)
    • (2005) IEEE Transactions on Energy Conversion , vol.20 , Issue.4 , pp. 719-729
    • Nandi, S.1    Toliyat, H.A.2    Li, X.3
  • 2
    • 5444230160 scopus 로고    scopus 로고
    • An amplitude modulation detector for fault diagnosis in rolling element bearings
    • J.R. Stack, R.G. Harley, and T.G. Habetler An amplitude modulation detector for fault diagnosis in rolling element bearings IEEE Trans. Ind. Electron. 51 2004 1097 1102
    • (2004) IEEE Trans. Ind. Electron. , vol.51 , pp. 1097-1102
    • Stack, J.R.1    Harley, R.G.2    Habetler, T.G.3
  • 3
    • 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 J. Mech. Syst. Signal Process. 18 2004 1077 1095
    • (2004) J. Mech. Syst. Signal Process. , vol.18 , pp. 1077-1095
    • Lou, X.1    Loparo, K.A.2
  • 5
    • 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. Rafsangani, A. Farshidianfar, and N. Irani Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine J. Mech. Syst. Signal Process. 21 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
  • 6
    • 0035456123 scopus 로고    scopus 로고
    • Multiple band-pass autoregressive demodulation for rolling element bearing faults
    • J. Altmann, and J. Mathew Multiple band-pass autoregressive demodulation for rolling element bearing faults J. Mech. Syst. Signal Process. 15 2007 963 977
    • (2007) J. Mech. Syst. Signal Process. , vol.15 , pp. 963-977
    • Altmann, J.1    Mathew, J.2
  • 7
    • 70350426577 scopus 로고    scopus 로고
    • Detection of generalized roughness bearing fault by spectral kurtosis energy of vibration or current signals
    • F. Immovilli, M. Cocconcelli, A. Bellini, and R. Rubini Detection of generalized roughness bearing fault by spectral kurtosis energy of vibration or current signals IEEE Trans. Ind. Electron. 56 2009 4710 4717
    • (2009) IEEE Trans. Ind. Electron. , vol.56 , pp. 4710-4717
    • Immovilli, F.1    Cocconcelli, M.2    Bellini, A.3    Rubini, R.4
  • 8
    • 2942659638 scopus 로고    scopus 로고
    • Residual life predictions from vibration based degradation signals: A neural network approach
    • N. Gebraeel, M. Lawley, R. Liu, and V. Parmeshwaran Residual life predictions from vibration based degradation signals: a neural network approach IEEE Trans. Ind. Electron. 51 2004 694 700
    • (2004) IEEE Trans. Ind. Electron. , vol.51 , pp. 694-700
    • Gebraeel, N.1    Lawley, M.2    Liu, R.3    Parmeshwaran, V.4
  • 9
    • 0016615517 scopus 로고
    • A Mathematical formulation and comparison of zero-crossing analysis techniques which have been applied to automatic speech recognition
    • R.J. Niederjohn A Mathematical formulation and comparison of zero-crossing analysis techniques which have been applied to automatic speech recognition IEEE Trans. Acoust. Speech Signal Process. 23 1975 373 380
    • (1975) IEEE Trans. Acoust. Speech Signal Process. , vol.23 , pp. 373-380
    • Niederjohn, R.J.1
  • 12
    • 43049087070 scopus 로고    scopus 로고
    • Experimental study for sensorless broken bar detection in induction motors
    • DOI 10.1016/j.enconman.2007.06.030, PII S0196890407002038
    • H. Calis, and A. Cakir Experimental study for sensorless broken bar detection in induction motors J. Energy Convers. Manage. 49 2008 854 862 (Pubitemid 351625372)
    • (2008) Energy Conversion and Management , vol.49 , Issue.4 , pp. 854-862
    • Calis, H.1    Cakir, A.2
  • 13
    • 0942267826 scopus 로고    scopus 로고
    • Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data
    • H. Ocak, and K.A. Loparo Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data J. Mech. Syst. Signal Process. 18 2004 515 533
    • (2004) J. Mech. Syst. Signal Process. , vol.18 , pp. 515-533
    • Ocak, H.1    Loparo, K.A.2
  • 14
    • 0026259007 scopus 로고
    • How to track rolling element bearing health with vibration signature analysis
    • J.E. Berry How to track rolling element bearing health with vibration signature analysis Sound Vib. 25 1991 24 35
    • (1991) Sound Vib. , vol.25 , pp. 24-35
    • Berry, J.E.1
  • 15
    • 0012778209 scopus 로고
    • Effects of differentiation, integration, and infinite peak clipping upon the intelligibility of speech
    • J.C.R. Licklider, and I. Pollack Effects of differentiation, integration, and infinite peak clipping upon the intelligibility of speech J. Acoust. Soc. Am. 20 1948 42 51
    • (1948) J. Acoust. Soc. Am. , vol.20 , pp. 42-51
    • Licklider, J.C.R.1    Pollack, I.2
  • 16
    • 80052806180 scopus 로고
    • Relationship between zero-crossing measurements for speech analysis and recognition
    • M.R. Ito Relationship between zero-crossing measurements for speech analysis and recognition J. Acoust. Soc. Am. 51 1972 2061 2062
    • (1972) J. Acoust. Soc. Am. , vol.51 , pp. 2061-2062
    • Ito, M.R.1
  • 17
    • 0014628382 scopus 로고
    • A preliminary analysis technique for speech classification
    • I.B. Thomas, and R.J. Niederjohn A preliminary analysis technique for speech classification Proc. Nat. Electron. Conf. 25 1969 685 690
    • (1969) Proc. Nat. Electron. Conf. , vol.25 , pp. 685-690
    • Thomas, I.B.1    Niederjohn, R.J.2
  • 18
    • 0011733318 scopus 로고    scopus 로고
    • Acoustic feature extraction for a neural network classifier, Army Research Laboratory
    • M.C. Wellman, N. Srour, D.B. Hillis, Acoustic feature extraction for a neural network classifier, Army Research Laboratory - Technical Report ARL-TR-1166, 1997.
    • (1997) Technical Report ARL-TR-1166
    • Wellman, M.C.1    Srour, N.2    Hillis, D.B.3
  • 21
    • 0037345899 scopus 로고    scopus 로고
    • Artificial neural network based fault diagnostics of rolling element bearings using time-domain features
    • B. Samanta, and K.R. Al-Balushi Artificial neural network based fault diagnostics of rolling element bearings using time-domain features J. Mech. Syst. Signal Process. 17 2003 317 328
    • (2003) J. Mech. Syst. Signal Process. , vol.17 , pp. 317-328
    • Samanta, B.1    Al-Balushi, K.R.2
  • 22
    • 10244259183 scopus 로고    scopus 로고
    • PCA-based feature selection scheme for machine defect classification
    • A. Malhi, and R.X. Gao PCA-based feature selection scheme for machine defect classification IEEE Trans. Instrum. Meas. 53 2004 1517 1525
    • (2004) IEEE Trans. Instrum. Meas. , vol.53 , pp. 1517-1525
    • Malhi, A.1    Gao, R.X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.