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Volumn 26, Issue 12, 2007, Pages 23-27

Fault diagnosis approach based on principal-component-bispectrum analysis and support vector machine for rotating machinery

Author keywords

Bispectrum; Fault diagnosis; Feature extraction; Rotating machinery; Support vector machine

Indexed keywords

BACKPROPAGATION; CLASSIFICATION (OF INFORMATION); FAILURE ANALYSIS; FEATURE EXTRACTION; NEURAL NETWORKS; ONLINE SYSTEMS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES;

EID: 38549129788     PISSN: 10003835     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (14)
  • Reference 정보가 존재하지 않습니다.

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.