Induction motor bearing failure diagnosis with ANN and hybrid networksmodel

ICIC Express Letters

Volumn 3, Issue 3, 2009, Pages 543-548

  Mahamad, Abd Kadir ^a   Hiyama, Takashi ^b  

^a UNIVERSITI TUN HUSSEIN ONN MALAYSIA   (Malaysia)

^b KUMAMOTO UNIVERSITY   (Japan)

Author keywords

AI; ANN; Distance evaluation technique; Fault diagnosis; IMB

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ARTIFICIAL INTELLIGENT; CASE WESTERN RESERVE UNIVERSITY; FAULT DIAGNOSIS; FEATURES SELECTION; FREQUENCY DOMAINS; HIGH FREQUENCY COMPONENTS; HYBRID NETWORK; MOTOR BEARINGS; TIME DOMAIN; VIBRATION SIGNAL;

ARTIFICIAL INTELLIGENCE; BEARINGS (STRUCTURAL); FAILURE ANALYSIS; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; INDUCTION MOTORS; WAVELET TRANSFORMS;

TIME DOMAIN ANALYSIS;

EID: 77953885611     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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