Faulted gear identification of a rotating machinery based on wavelet transform and artificial neural network

Expert Systems with Applications

Volumn 36, Issue 5, 2009, Pages 8862-8875

  Wu, Jian Da ^a   Chan, Jian Ji ^a  

^a NATIONAL CHANGHUA UNIVERSITY OF EDUCATION   (Taiwan)

Author keywords

Artificial neural network; Continuous wavelet transform; Fault diagnosis; Rotating machinery; Sound emission

Indexed keywords

BACKPROPAGATION; CONDITION MONITORING; EMISSION SPECTROSCOPY; FAILURE ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); ROTATING MACHINERY; ROTATION; SPECTRUM ANALYSIS; WAVELET TRANSFORMS;

ARTIFICIAL NEURAL NETWORK; BACK-PROPAGATION NETWORKS; CONTINUOUS WAVELET TRANSFORM; CONVENTIONAL TECHNIQUES; ENERGY SPECTRUM; FAULT DIAGNOSIS; FAULT DIAGNOSIS SYSTEMS; FAULT DIAGNOSIS TECHNIQUES; FAULT RECOGNITION; FAULT SIGNALS; FEATURE SELECTIONS; FREQUENCY SPECTRUMS; IDENTIFICATION TECHNIQUES; PROBABILITY NEURAL NETWORKS; SOUND EMISSION; TIME DOMAINS; VIBRATION SIGNALS;

NEURAL NETWORKS;

EID: 60849131716     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.11.020     Document Type: Article

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