Application of a novel hybrid intelligent method to compound fault diagnosis of locomotive roller bearings

Journal of Vibration and Acoustics

Volumn 130, Issue 3, 2008, Pages

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

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Compound fault diagnosis; Hybrid intelligent method; Multiple classifier combination; Salient features

Indexed keywords

CLASSIFICATION (OF INFORMATION); FAILURE ANALYSIS; FAULT DETECTION; FREQUENCY DOMAIN ANALYSIS; FUZZY INFERENCE; GENETIC ALGORITHMS; INTRINSIC MODE FUNCTIONS; LOCOMOTIVES; ROLLERS (MACHINE COMPONENTS);

COMPOUND FAULT DIAGNOSIS; COMPOUND FAULTS; FAULT CHARACTERISTICS; FEATURES SETS; HYBRID INTELLIGENT METHOD; INTELLIGENT DIAGNOSIS METHODS; INTRINSIC MODE FUNCTIONS; MULTIPLE CLASSIFIER COMBINATION; SALIENT FEATURES; VIBRATION SIGNAL;

ROLLER BEARINGS;

EID: 46949085293     PISSN: 10489002     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.2890396     Document Type: Article

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