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Volumn 19, Issue 3, 2005, Pages 846-859

Fault diagnosis of rotating machinery based on multi-class support vector machines

Author keywords

Fault Diagnosis; Multi Class Classification; Rotating Machinery; Support Vector Machine

Indexed keywords


EID: 28744446722     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02916133     Document Type: Article
Times cited : (110)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.