A new approach to intelligent fault diagnosis of rotating machinery

Expert Systems with Applications

Volumn 35, Issue 4, 2008, Pages 1593-1600

  Lei, Yaguo ^a   He, Zhengjia ^a,b   Zi, Yanyang ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Adaptive neuro fuzzy inference system; Fault diagnosis; Feature selection; Improved distance evaluation technique; Superior feature

Indexed keywords

ELECTRIC FAULT CURRENTS; FUZZY INFERENCE; SINGULAR VALUE DECOMPOSITION; STATISTICAL METHODS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; DISTANCE EVALUATION; EMPIRICAL MODE DECOMPOSITION; FAULT CHARACTERISTICS; FAULT DIAGNOSIS; FEATURE SELECTION; FEATURE SELECTION METHODS; FEATURE SETS; FREQUENCY DOMAINS; IMPROVED DISTANCE EVALUATION TECHNIQUE; INTELLIGENT FAULT DIAGNOSIS; NEW APPROACHES; ROLLING ELEMENT BEARINGS; STATISTICAL CHARACTERISTICS; STATISTICS ANALYSIS; SUPERIOR FEATURE; TESTING RESULTS; TIME DOMAINS;

FUZZY SYSTEMS;

EID: 48749115318     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.08.072     Document Type: Article

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