Gear fault detection and diagnosis under speed-up condition based on order cepstrum and radial basis function neural network

Journal of Mechanical Science and Technology

Volumn 23, Issue 10, 2009, Pages 2780-2789

  Li, Hui ^a   Zhang, Yuping ^a   Zheng, Haiqi ^b  

^a SHIJIAZHUANG TIEDAO UNIVERSITY   (China)

^b MECHANICAL ENGINEERING COLLEGE   (China)

Author keywords

Fault diagnosis; Gearbox; Neural network; Order cepstrum; Radial basis function; Signal processing

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CEPSTRUM; CEPSTRUM ANALYSIS; COMPUTED ORDER TRACKING; CONDITION DETECTION; CONSTANT TIME; DETECTION AND DIAGNOSIS; EXPERIMENTAL DATA; FAULT DIAGNOSIS; FEATURE EXTRACTING; GEAR FAULT DETECTION; GEARBOX; NONSTATIONARY; ON TIME; ORDER CEPSTRUM; RADIAL BASIS FUNCTION; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; SPEED-UPS; VIBRATION DATA; VIBRATION SIGNAL;

ATTITUDE CONTROL; BACKPROPAGATION; FAILURE ANALYSIS; FEATURE EXTRACTION; GEAR MANUFACTURE; MACHINERY; NEURAL NETWORKS; PROCESSING; RADIAL BASIS FUNCTION NETWORKS; SIGNAL DETECTION; SIGNAL PROCESSING;

FAULT DETECTION;

EID: 70350447149     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12206-009-0730-8     Document Type: Article

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