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Volumn 19, Issue 1, 2005, Pages 175-194

Fault diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming

Author keywords

Genetic programming; Instantaneous power spectrum; Machinery fault diagnosis; Relative crossing information; Rolling bearing; Unsteady operating condition

Indexed keywords

FAILURE ANALYSIS; FREQUENCY DOMAIN ANALYSIS; GENETIC ALGORITHMS; KINEMATICS; MAGNETIC DOMAINS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; SPECTRUM ANALYSIS; VIBRATION MEASUREMENT;

EID: 3342940968     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ymssp.2003.11.004     Document Type: Article
Times cited : (58)

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    • Sequential fuzzy diagnosis method and identification method of membership function by probability and possibility theories
    • T. Toyota, P. Chen, Sequential fuzzy diagnosis method and identification method of membership function by probability and possibility theories, Proceeding of IEEE/SMC'96, Vol. 2, 1996, pp. 1079-1084.
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    • Toyota, T.1    Chen, P.2
  • 9
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    • Bearing failures and their causes
    • SKF Industries Bearings Group, Bearing failures and their causes, SFK Bulletin 3 (1980) 148-110.
    • (1980) SFK Bulletin , vol.3 , pp. 148-110
  • 10
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    • An introduction to computing with neural nets
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    • Lippmann, R.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.