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Volumn , Issue , 2015, Pages 2664-2667

Rolling bearing fault diagnosis based on higher-order cumulants and BP neural network

Author keywords

BP Neural Network; Fault Diagnosis; Higher order Cumulants; Rolling Bearings; Vibration Signals

Indexed keywords

BACKPROPAGATION; FAILURE ANALYSIS; HIGHER ORDER STATISTICS; NEURAL NETWORKS; ROLLER BEARINGS;

EID: 84945589251     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2015.7162374     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 2
    • 84868245736 scopus 로고    scopus 로고
    • Fault Diagnosis of a Rolling Element Bearing Based on Twice-slice of a Cyclic Bispectrum
    • Y. Zhou, J. Chen, G. M. Dong, W. B. Xiao, Z. Y. Wang, Fault Diagnosis of a Rolling Element Bearing Based on Twice-slice of a Cyclic Bispectrum, Journal of Vibration and Shock, Vol. 31, No. 18, 24-28, 2012
    • (2012) Journal of Vibration and Shock , vol.31 , Issue.18 , pp. 24-28
    • Zhou, Y.1    Chen, J.2    Dong, G.M.3    Xiao, W.B.4    Wang, Z.Y.5
  • 3
    • 47549087609 scopus 로고    scopus 로고
    • Fault detection and diagnosis of gear system based on higher order cumulants
    • R. P. Shao, X. N. Huang, H. Y. Liu, Y. Q. Xu, Fault Detection and Diagnosis of Gear System Based on Higher Order Cumulants, Chinese Journal of Mechanical Engineering, Vol. 44, No. 6, 161-168, 2008
    • (2008) Chinese Journal of Mechanical Engineering , vol.44 , Issue.6 , pp. 161-168
    • Shao, R.P.1    Huang, X.N.2    Liu, H.Y.3    Xu, Y.Q.4
  • 5
    • 79957827091 scopus 로고    scopus 로고
    • Using bispectral distribution as a feature for rotating machinery fault diagnosis
    • L. L. Jiang, Y. L. Liu, X. J. Li, S. W. Tang, Using Bispectral Distribution as a Feature for Rotating Machinery Fault Diagnosis, Measurement, Vol. 44, No. 7, 1284-1292, 2011
    • (2011) Measurement , vol.44 , Issue.7 , pp. 1284-1292
    • Jiang, L.L.1    Liu, Y.L.2    Li, X.J.3    Tang, S.W.4
  • 7
    • 78049528234 scopus 로고    scopus 로고
    • Fault diagnosis of ball bearings using machine learning methods
    • P. K. Kankar, Satish C. Sharma, S. P. Harsha, Fault Diagnosis of Ball Bearings Using Machine Learning Methods, Expert Systems with Applications, Vol. 38, No. 3, 1876-1886, 2011
    • (2011) Expert Systems with Applications , vol.38 , Issue.3 , pp. 1876-1886
    • Kankar, P.K.1    Sharma, S.C.2    Harsha, S.P.3
  • 8
    • 52149100891 scopus 로고    scopus 로고
    • Vibrating diagnosis of rolling bearings based on back propagation neural network
    • J. Zhang, S. L. Lu, W. X. He, Y. S. Wang, Vibrating Diagnosis of Rolling Bearings Based on Back Propagation Neural Network, Light Industry Machinery, Vol. 25, No. 2, 90-93, 2007
    • (2007) Light Industry Machinery , vol.25 , Issue.2 , pp. 90-93
    • Zhang, J.1    Lu, S.L.2    He, W.X.3    Wang, Y.S.4
  • 9
    • 79961201885 scopus 로고    scopus 로고
    • A method of state diagnosis for rolling bearing using support vector machine and bp neural network
    • J. Guan, G. F. Li, G. Q. Liu, A Method of State Diagnosis for Rolling Bearing Using Support Vector Machine and BP Neural Network, International Conference on Electric and Electronics, Vol. 98, No. 2, 127-134, 2011
    • (2011) International Conference on Electric and Electronics , vol.98 , Issue.2 , pp. 127-134
    • Guan, J.1    Li, G.F.2    Liu, G.Q.3
  • 10
    • 84945551236 scopus 로고    scopus 로고
    • Modern signal processing technology: Higher-order spectrum
    • Wuhan University press, Wuhan
    • Z. G. Wu, L. Xia, W. M. Yin, Modern Signal Processing Technology: Higher-order Spectrum, Time-frequency Analysis and Wavelet Transform, Wuhan University press, Wuhan, 2003
    • (2003) Time-frequency Analysis and Wavelet Transform
    • Wu, Z.G.1    Xia, L.2    Yin, W.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.