Rotor fault diagnosis system based on sGA-based individual neural networks

Expert Systems with Applications

Volumn 38, Issue 9, 2011, Pages 10822-10830

  Chen, Chin Sheng ^a   Chen, Jian Shiu ^a  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Fault diagnosis; Neural network; Order tracking; Spectrum analysis; Structure genetic algorithm

Indexed keywords

COMMON FAULTS; DIAGNOSIS SYSTEMS; DIFFERENTIAL SIGNAL; FAULT DIAGNOSIS; FREQUENCY CHARACTERISTIC; FULL SPECTRUM; LOCAL OPTIMAL SOLUTION; MACHINE LEARNING TECHNOLOGY; OPTIMAL PARAMETER; ORDER TRACKING; REASONING ENGINE; ROBUST FAULT DIAGNOSIS; ROTATING MACHINE; ROTOR FAULT DIAGNOSIS; ROTOR SYSTEMS; STRUCTURE GENETIC ALGORITHM;

FAST FOURIER TRANSFORMS; FAULT TOLERANT COMPUTER SYSTEMS; GENETIC ALGORITHMS; INTERFEROMETRY; NEURAL NETWORKS; OPTIMIZATION; QUALITY ASSURANCE; ROTORS; ROTORS (WINDINGS); SPECTRUM ANALYSIS; STRUCTURED PROGRAMMING;

PLASMA DIAGNOSTICS;

EID: 79955607648     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.02.074     Document Type: Article

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