Application research of Kalman filter and SVM applied to condition monitoring and fault diagnosis

Applied Mechanics and Materials

Volumn 121-126, Issue , 2012, Pages 268-272

  Li, Ke ^a   Zhang, Yuelei ^b   Li, Zhixiong ^b  

^a Yantai Engineering and Technology College   (China)

^b WUHAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Condition monitoring; Fault diagnosis; Kalman filtering; SVM

Indexed keywords

ANALYSIS RESULTS; APPLICATION RESEARCH; FAULT DETECTION RATE; INCIPIENT FAULTS; KALMAN-FILTERING; MEASURED SIGNALS; RECENT PROGRESS; ROLLING BEARINGS; SVM; SYSTEM FAULTS;

BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; FAULT DETECTION; INDUSTRIAL RESEARCH; KALMAN FILTERS; MANUFACTURE; SUPPORT VECTOR MACHINES;

CONDITION MONITORING;

EID: 81255150243     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.121-126.268     Document Type: Conference Paper

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