Pattern recognition and its application in fault diagnosis of electromechanical system

Journal of Information and Computational Science

Volumn 9, Issue 8, 2012, Pages 2221-2228

  Wu, Qian ^a   Yang, Xiaoyi ^b,c   Zhou, Qing ^c  

^a CHONGQING UNIVERSITY OF TECHNOLOGY   (China)

^b CHONGQING NORMAL UNIVERSITY   (China)

^c CHONGQING UNIVERSITY   (China)

Author keywords

Fault diagnosis; Heavy electromechanical device; Main feature fusion; Pattern recognition

Indexed keywords

DIAGNOSIS ALGORITHMS; DIAGNOSIS METHODS; DIMENSION REDUCTION; ELECTROMECHANICAL SYSTEMS; EXPERIMENT TESTS; FAULT DIAGNOSIS MODEL; FEATURE FUSION; FEATURE INFORMATION; FEATURE PARAMETERS; FEATURE PATTERN; MULTISOURCES; RESEARCH RESULTS; RUNNING-IN; STATE FEATURE; SYSTEM FAULTS; SYSTEM MOTION; TIME DOMAIN;

ALGORITHMS; ANTIFRICTION BEARINGS; ELECTROMECHANICAL DEVICES; FAILURE ANALYSIS; PATTERN RECOGNITION;

TIME DOMAIN ANALYSIS;

EID: 84865125981     PISSN: 15487741     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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