Application of power spectrum, cepstrum, higher order spectrum and neural network analyses for induction motor fault diagnosis

Mechanical Systems and Signal Processing

Volumn 39, Issue 1-2, 2013, Pages 342-360

  Liang, B ^a   Iwnicki, S D ^a   Zhao, Y ^a  

^a UNIVERSITY OF HUDDERSFIELD   (United Kingdom)

Author keywords

Bispectrum; Cepstrum; Fault pattern identification; Induction motors; Power spectrum; Vibration

Indexed keywords

BISPECTRUM; CEPSTRUM; FAULT PATTERNS; NON-LINEAR RELATIONSHIPS; NONLINEAR INTERACTIONS; POWER SPECTRAL ANALYSIS; SIGNAL PROCESSING TECHNIQUE; VIBRATION;

CONDITION MONITORING; FAULT DETECTION; INDUCTION MOTORS; NEURAL NETWORKS; SIGNAL DETECTION; SPECTRUM ANALYSIS; STRUCTURES (BUILT OBJECTS); TOOLS;

POWER SPECTRUM;

EID: 84879692738     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2013.02.016     Document Type: Article

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