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Volumn 40, Issue 3-4, 2009, Pages 393-402

Rolling element bearing faults diagnosis based on autocorrelation of optimized: Wavelet de-noising technique

Author keywords

Autocorrelation; Bearing fault detection; Impulse response wavelet; Kurtosis maximization; Wavelet de noising

Indexed keywords

BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); CORRELATION DETECTORS; FOURIER TRANSFORMS; IMPULSE RESPONSE; MACHINERY; MODULATION; OPTIMIZATION; ROLLING; SAFETY ENGINEERING; WAVELET TRANSFORMS;

EID: 59249090743     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-007-1330-3     Document Type: Article
Times cited : (59)

References (32)
  • 1
    • 0043134975 scopus 로고    scopus 로고
    • Simulation and analysis of vibration signals generated by rolling element bearing with defects
    • 9
    • Z Kiral H Karagulle 2003 Simulation and analysis of vibration signals generated by rolling element bearing with defects Tribol Int 36 9 667 678
    • (2003) Tribol Int , vol.36 , pp. 667-678
    • Kiral, Z.1    Karagulle, H.2
  • 2
    • 0000065852 scopus 로고    scopus 로고
    • An analytical model for the prediction of the vibration response of rolling element bearings due to a localized defect
    • 3
    • N Tandon A Choudhury 1997 An analytical model for the prediction of the vibration response of rolling element bearings due to a localized defect J Sound Vib 205 3 275 292
    • (1997) J Sound Vib , vol.205 , pp. 275-292
    • Tandon, N.1    Choudhury, A.2
  • 4
    • 0036862592 scopus 로고    scopus 로고
    • Singularity analysis using continuous wavelet transform for bearing fault diagnosis
    • 6
    • Q Sun Y Tang 2002 Singularity analysis using continuous wavelet transform for bearing fault diagnosis Mech Syst Signal Process 16 6 1025 1041
    • (2002) Mech Syst Signal Process , vol.16 , pp. 1025-1041
    • Sun, Q.1    Tang, Y.2
  • 5
    • 0021758020 scopus 로고
    • Modal for the vibration produced by a single point defect in a rolling element bearing
    • 1
    • PD Mcfadden JD Smith 1984 Modal for the vibration produced by a single point defect in a rolling element bearing J Sound Vib 96 1 69 82
    • (1984) J Sound Vib , vol.96 , pp. 69-82
    • McFadden, P.D.1    Smith, J.D.2
  • 6
    • 0035856984 scopus 로고    scopus 로고
    • Cyclostationary analysis of rolling element bearing vibration signals
    • 5
    • I Antoniadis G Glossiotis 2001 Cyclostationary analysis of rolling element bearing vibration signals J Sound Vib 248 5 829 845
    • (2001) J Sound Vib , vol.248 , pp. 829-845
    • Antoniadis, I.1    Glossiotis, G.2
  • 7
    • 0141919581 scopus 로고    scopus 로고
    • Cyclic statistics in rolling bearing diagnosis
    • 2
    • L Li L Qu 2003 Cyclic statistics in rolling bearing diagnosis J Sound Vib 267 2 253 265
    • (2003) J Sound Vib , vol.267 , pp. 253-265
    • Li, L.1    Qu, L.2
  • 8
    • 0035456236 scopus 로고    scopus 로고
    • The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals
    • 5
    • RB Randall J Antoni S Chobsaard 2001 The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals Mech Syst Signal Process 15 5 945 962
    • (2001) Mech Syst Signal Process , vol.15 , pp. 945-962
    • Randall, R.B.1    Antoni, J.2    Chobsaard, S.3
  • 9
    • 13244275197 scopus 로고    scopus 로고
    • Defect Detection of Bearings Using Envelope Spectra of Wavelet Transform
    • 4
    • DF Shi WJ Wang LS Qu 2004 Defect Detection of Bearings Using Envelope Spectra of Wavelet Transform ASME Journal of Vibration and Acoustics 126 4 567 573
    • (2004) ASME Journal of Vibration and Acoustics , vol.126 , pp. 567-573
    • Shi, D.F.1    Wang, W.J.2    Qu, L.S.3
  • 10
    • 0031162433 scopus 로고    scopus 로고
    • Wavelet decomposition of vibrations for detection of bearing-localized defects
    • 3
    • CJ Li J Ma 1997 Wavelet decomposition of vibrations for detection of bearing-localized defects NDT & E International 30 3 143 149
    • (1997) NDT & e International , vol.30 , pp. 143-149
    • Li, C.J.1    Ma, J.2
  • 11
    • 0035273597 scopus 로고    scopus 로고
    • Application of the envelope and wavelet transform analysis for the diagnosis of incipient faults in ball bearings
    • 2
    • R Rubini U Meneghetti 2001 Application of the envelope and wavelet transform analysis for the diagnosis of incipient faults in ball bearings Mech Syst Signal Processing 15 2 287 302
    • (2001) Mech Syst Signal Processing , vol.15 , pp. 287-302
    • Rubini, R.1    Meneghetti, U.2
  • 12
    • 0042593132 scopus 로고    scopus 로고
    • On line vibration analysis with fast continuous wavelet algorithm for condition monitoring of bearing
    • Luo GY, Osypiw D, Irle M (2003) On line vibration analysis with fast continuous wavelet algorithm for condition monitoring of bearing. J Vib Control 9:931-947
    • (2003) J Vib Control , vol.9 , pp. 931-947
    • Luo, G.Y.1    Osypiw, D.2    Irle, M.3
  • 13
    • 0030199361 scopus 로고    scopus 로고
    • Prediction of spalling on a ball bearing by applying discrete wavelet transform to vibration signals
    • K Mori N Kasashima T Yoshioka Y Ueno 1996 Prediction of spalling on a ball bearing by applying discrete wavelet transform to vibration signals Wear 195 162 168
    • (1996) Wear , vol.195 , pp. 162-168
    • Mori, K.1    Kasashima, N.2    Yoshioka, T.3    Ueno, Y.4
  • 14
    • 21344449782 scopus 로고    scopus 로고
    • Time- energy density analysis based on wavelet transforms
    • 7
    • C Junsheng Y Dejie Y Yu 2005 Time- energy density analysis based on wavelet transforms NDT E Int 38 7 569 572
    • (2005) NDT e Int , vol.38 , pp. 569-572
    • Junsheng, C.1    Dejie, Y.2    Yu, Y.3
  • 18
    • 0034206997 scopus 로고    scopus 로고
    • Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis
    • 129
    • J Lin L Qu 2000 Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis J sound vib 234 129 135 148
    • (2000) J Sound Vib , vol.234 , pp. 135-148
    • Lin, J.1    Qu, L.2
  • 19
    • 5044252073 scopus 로고    scopus 로고
    • Robust performance degradation assessment methods for enhanced rolling element bearing prognostics
    • 3-4
    • H Qiu J Lee J Lin G Yu 2003 Robust performance degradation assessment methods for enhanced rolling element bearing prognostics Advanced Engineering Informatics 17 3-4 127 140
    • (2003) Advanced Engineering Informatics , vol.17 , pp. 127-140
    • Qiu, H.1    Lee, J.2    Lin, J.3    Yu, G.4
  • 20
    • 0036664241 scopus 로고    scopus 로고
    • Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted Morlet wavelets
    • 4
    • NG Nikolaou IA Antoniadis 2002 Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted Morlet wavelets Mech Syst Signal Process 16 4 677 694
    • (2002) Mech Syst Signal Process , vol.16 , pp. 677-694
    • Nikolaou, N.G.1    Antoniadis, I.A.2
  • 21
    • 33750524227 scopus 로고    scopus 로고
    • Application of an impulse response wavelet to fault diagnosis of rolling bearings
    • 2
    • Y Dejie C Junsheng Y Yu 2007 Application of an impulse response wavelet to fault diagnosis of rolling bearings Mech syst Signal Process 21 2 920 929
    • (2007) Mech Syst Signal Process , vol.21 , pp. 920-929
    • Dejie, Y.1    Junsheng, C.2    Yu, Y.3
  • 23
    • 14744296477 scopus 로고    scopus 로고
    • Design of mixture denoising for faulty bearing signals
    • Y Shao K Nezu 2005 Design of mixture denoising for faulty bearing signals J sound vib 282 899 917
    • (2005) J Sound Vib , vol.282 , pp. 899-917
    • Shao, Y.1    Nezu, K.2
  • 24
    • 33644547646 scopus 로고    scopus 로고
    • Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
    • 4-5
    • H Qiu J Lee J Lin G Yu 2006 Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics J Sound Vib 289 4-5 1066 1090
    • (2006) J Sound Vib , vol.289 , pp. 1066-1090
    • Qiu, H.1    Lee, J.2    Lin, J.3    Yu, G.4
  • 25
    • 34548035641 scopus 로고    scopus 로고
    • Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine
    • S Abbasion A Rafsanjani A Farshidianfar N Irani 2007 Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine Mech syst Signal Process 21 2933 2945
    • (2007) Mech Syst Signal Process , vol.21 , pp. 2933-2945
    • Abbasion, S.1    Rafsanjani, A.2    Farshidianfar, A.3    Irani, N.4
  • 26
    • 39149116753 scopus 로고    scopus 로고
    • Denoising using wavelets on electric derive applications
    • DOI 10.1016/j.epsr2007.05.00410.1016/j.epsr2007.05.004
    • Giaouris D, Finch JW (2007) Denoising using wavelets on electric derive applications. Electrical Power System Research, DOI 10.1016/j.epsr 2007.05.00410.1016/j.epsr 2007.05.004.
    • (2007) Electrical Power System Research
    • Giaouris, D.1    Finch, J.W.2
  • 27
    • 0346306460 scopus 로고    scopus 로고
    • Application of the wavelet transform in machine condition monitoring and fault diagnosis: A review with bibliography
    • ZK Peng FL Chu 2004 Application of the wavelet transform in machine condition monitoring and fault diagnosis: a review with bibliography Mech systems Signal Process 18 199 221
    • (2004) Mech Systems Signal Process , vol.18 , pp. 199-221
    • Peng, Z.K.1    Chu, F.L.2
  • 28
    • 22944433479 scopus 로고    scopus 로고
    • An advanced strategy for detecting impulses in mechanical signals
    • WX Yang PW Tse 2005 An advanced strategy for detecting impulses in mechanical signals Transactions of the ASME 127 280 284
    • (2005) Transactions of the ASME , vol.127 , pp. 280-284
    • Yang, W.X.1    Tse, P.W.2
  • 32
    • 84888210159 scopus 로고    scopus 로고
    • CWRU, Bearing Data Center
    • CWRU, Bearing Data Center, seeded fault test data. http://www.eecs.case. edu/
    • Seeded Fault Test Data


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.