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Volumn 58, Issue 1, 2006, Pages 32-44

An artificial neural network application to fault detection of a rotor bearing system

Author keywords

Bearings; Neural nets

Indexed keywords

DEFORMATION; MATHEMATICAL MODELS; NEURAL NETWORKS; PERFORMANCE; ROTORS;

EID: 33644543460     PISSN: 00368792     EISSN: None     Source Type: Journal    
DOI: 10.1108/00368790610640082     Document Type: Article
Times cited : (24)

References (13)
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    • Baillie, D.C.1    Mathew, J.2
  • 2
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    • Condition evolution of machinery and its assessment from passive diagnostic experiment
    • Cempel, C. (1991), "Condition evolution of machinery and its assessment from passive diagnostic experiment", Mechanical Systems and Signal Processing, Vol. 5 No. 4, pp. 317-26.
    • (1991) Mechanical Systems and Signal Processing , vol.5 , Issue.4 , pp. 317-326
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  • 3
    • 0024861871 scopus 로고
    • Approximations by superposition of a sigmoid function
    • Cybenko, G. (1989), "Approximations by superposition of a sigmoid function", Mathematics of Control, Signals and Systems, Vol. 2, pp. 303-14.
    • (1989) Mathematics of Control, Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 7
    • 33644546625 scopus 로고    scopus 로고
    • The University of Melbourne, Department of Mechanical and Manufacturing Engineering Melbourne
    • Krodkiewski, J.M. (2000), Dynamics of Rotors, The University of Melbourne, Department of Mechanical and Manufacturing Engineering, Melbourne.
    • (2000) Dynamics of Rotors
    • Krodkiewski, J.M.1
  • 9
    • 0029404270 scopus 로고
    • An unsupervised on-line system for induction motor fault detection using stator current monitoring
    • Schoen, R.R. et al., (1995), "An unsupervised on-line system for induction motor fault detection using stator current monitoring", IEEE Transactions on Industry Applications, Vol. 31 No. 6, pp. 1274-9.
    • (1995) IEEE Transactions on Industry Applications , vol.31 , Issue.6 , pp. 1274-1279
    • Schoen, R.R.1
  • 12
    • 0029251465 scopus 로고
    • Back to the basics of rotating machinery vibration analysis
    • Taylor, J.I. (1995), "Back to the basics of rotating machinery vibration analysis", Journal of Sound and Vibration, Vol. 29 No. 2, pp. 12-16.
    • (1995) Journal of Sound and Vibration , vol.29 , Issue.2 , pp. 12-16
    • Taylor, J.I.1
  • 13
    • 0034831495 scopus 로고    scopus 로고
    • Artificial neural network design for fault identification in a rotor-bearing system
    • Vyas, N.S. and Satishkumar, D. (2001), "Artificial neural network design for fault identification in a rotor-bearing system", Mechanism and Machine Theory, Vol. 36, pp. 157-75.
    • (2001) Mechanism and Machine Theory , vol.36 , pp. 157-175
    • Vyas, N.S.1    Satishkumar, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.