Current envelope analysis for defect identification and diagnosis in induction motors

Journal of Manufacturing Systems

Volumn 31, Issue 4, 2012, Pages 380-387

  Wang, Jinjiang ^a   Liu, Shaopeng ^a   Gao, Robert X ^a   Yan, Ruqiang ^b  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

Autoregressive model; Current envelope; Feature selection; Induction motor diagnosis

Indexed keywords

AMPLITUDE-MODULATED; AUTO REGRESSIVE MODELS; DEFECT CLASSIFICATION; DEFECT DIAGNOSIS; DEFECT IDENTIFICATION; DEGREE OF ACCURACY; ENVELOPE ANALYSIS; FEATURE EXTRACTION AND SELECTION; K-NEAREST NEIGHBORS; MOTOR CURRENTS; PATTERN CLASSIFIER;

CONDITION MONITORING; DEFECTS; FEATURE EXTRACTION; INDUSTRIAL RESEARCH; MANUFACTURE; SHAFTS (MACHINE COMPONENTS);

INDUCTION MOTORS;

EID: 84868709704     PISSN: 02786125     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmsy.2012.06.005     Document Type: Article

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