Rolling bearing fault diagnosis based on wavelet packet- neural network characteristic entropy

Advanced Materials Research

Volumn 108-111, Issue 1, 2010, Pages 1075-1079

  Li Ying, Wang ^a   Wei Guo, Zhao ^a   Ying, Liu ^a  

^a HEBEI UNIVERSITY OF ENGINEERING   (China)

Author keywords

Fault diagnosis; Neural network; Rolling bearing; WP CE

Indexed keywords

BP NEURAL NETWORKS; EIGENVECTORS; FAULT DIAGNOSIS; FAULT DIAGNOSIS METHOD; FAULT SAMPLE; INTELLIGENT FAULT DIAGNOSIS; ROLLING BEARINGS; SIMULATION RESULT; THREE-LAYER; WAVELET PACKET; WAVELET PACKET DECOMPOSITION;

BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); EIGENVALUES AND EIGENFUNCTIONS; ENTROPY; FAILURE ANALYSIS; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

NEURAL NETWORKS;

EID: 77954191658     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.108-111.1075     Document Type: Conference Paper

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