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Volumn , Issue , 2016, Pages 869-874

A fault diagnosis approach using SVM with data dimension reduction by PCA and LDA method

Author keywords

data dimension reduction; fault diagnosis; linear discriminant analysis; principal component analysis; support vector machine

Indexed keywords

BEARINGS (MACHINE PARTS); DATA REDUCTION; DISCRIMINANT ANALYSIS; FAILURE ANALYSIS; IMAGE RETRIEVAL; MACHINERY; PRINCIPAL COMPONENT ANALYSIS; ROLLER BEARINGS; SUPPORT VECTOR MACHINES;

EID: 84966507757     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CAC.2015.7382620     Document Type: Conference Paper
Times cited : (25)

References (25)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.