Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

Mechanical Systems and Signal Processing

Volumn 72-73, Issue , 2016, Pages 92-104

  Gan, Meng ^a   Wang, Cong ^a   Zhu, Chang'An ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Deep belief networks (DBNs); Fault diagnosis; Hierarchical diagnosis network (HDN); Rolling element bearing; Wavelet packet transform (WPT)

Indexed keywords

BACKPROPAGATION; BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; PACKET NETWORKS; PATTERN RECOGNITION; ROLLER BEARINGS;

COMPREHENSIVE COMPARISONS; DEEP BELIEF NETWORKS; DETAILED CLASSIFICATION; HIERARCHICAL DIAGNOSIS; HIERARCHICAL IDENTIFICATION; ROLLING ELEMENT BEARING; WAVELET PACKET ENERGIES; WAVELET PACKET TRANSFORM(WPT);

FAULT DETECTION;

EID: 84955504842     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.11.014     Document Type: Article

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