A novel feature extraction method using deep neural network for rolling bearing fault diagnosis

Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

Volumn , Issue , 2015, Pages 2427-2431

  Lu, Weining ^a,b   Wang, Xueqian ^a,b   Yang, Chunchun ^a,b   Zhang, Tao ^a  

^a TSINGHUA UNIVERSITY   (China)

^b TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Deep Neural Network; Fault Diagnosis; Feature Extraction

Indexed keywords

DEEP NEURAL NETWORKS; EXTRACTION; FAILURE ANALYSIS; FEATURE EXTRACTION; ROLLER BEARINGS;

DIAGNOSIS PERFORMANCE; FEATURE EXTRACTION METHODS; FEATURE EXTRACTOR; ROLLING BEARINGS;

FAULT DETECTION;

EID: 84945576459     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2015.7162328     Document Type: Conference Paper

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