Fault classification based artificial intelligent methods of induction motor bearing

International Journal of Innovative Computing, Information and Control

Volumn 7, Issue 9, 2011, Pages 5477-5494

  Mahamad, Abd Kadir ^a,b   Hiyama, Takashi ^a  

^a KUMAMOTO UNIVERSITY   (Japan)

^b UNIVERSITI TUN HUSSEIN ONN MALAYSIA   (Malaysia)

Author keywords

Adaptive neuro fuzzy inference system; Elman network; Feed Forward neural network; Induction motor bearing; Radial basis function network

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL INTELLIGENT; CASE WESTERN RESERVE UNIVERSITY; ELMAN NETWORK; FAULT CLASSIFICATION; FEATURES EXTRACTION; FEATURES SELECTION; FREQUENCY DOMAINS; PRE-PROCESSING; RADIAL BASIS FUNCTIONS; SALIENT FEATURES; TIME DOMAIN; VIBRATION SIGNAL;

BEARINGS (STRUCTURAL); FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; FUZZY INFERENCE; FUZZY SYSTEMS; INDUCTION MOTORS; METADATA; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

TIME DOMAIN ANALYSIS;

EID: 80052481302     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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