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Volumn 13, Issue 2, 2007, Pages 163-175

Feature-based fault diagnosis system of induction motors using vibration signal

Author keywords

Induction; Vibration

Indexed keywords

CONDITION MONITORING; FAILURE ANALYSIS; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION;

EID: 34249741485     PISSN: 13552511     EISSN: None     Source Type: Journal    
DOI: 10.1108/13552510710753069     Document Type: Article
Times cited : (28)

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  • 3
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  • 9
    • 0037345899 scopus 로고    scopus 로고
    • Artificial neural network based fault diagnostics of rolling element bearing using time-domain features
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    • Stone, G.C.1    Sedding, H.G.2    Costello, M.J.3
  • 12
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    • Asynchronous motor cage fault detection through electromagnetic torque measurement
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  • 13
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    • Current signature analysis to detect induction motor faults
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  • 14
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    • ART-Kohonen neural network for fault diagnostics of rotating machinery
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.