Bearing Fault Diagnosis Based on Deep Belief Network and Multisensor Information Fusion

Shock and Vibration

Volumn 2016, Issue , 2016, Pages

  Tao, Jie ^a,b   Liu, Yilun ^a   Yang, Dalian ^a,b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; ROLLER BEARINGS; TIME DOMAIN ANALYSIS;

BEARING FAULT DIAGNOSIS; DEEP BELIEF NETWORK (DBN); DEEP BELIEF NETWORKS; FAULT DIAGNOSIS METHOD; IDENTIFICATION ACCURACY; LEARNING ABILITIES; MULTI-SENSOR INFORMATION FUSION; TIME DOMAIN CHARACTERISTICS;

FAULT DETECTION;

EID: 84988735586     PISSN: 10709622     EISSN: None     Source Type: Journal    
DOI: 10.1155/2016/9306205     Document Type: Article

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