Fault diagnosis of railway rolling bearing based on wavelet analysis and FCM

International Journal of Digital Content Technology and its Applications

Volumn 5, Issue 3, 2011, Pages 47-58

  Ye, Zhang ^a   Guoqiang, Cai ^b   Yang, Jianwei ^c   Zhang, Jiao ^c   Shi, Qilong ^d   Zeng, Heng ^d  

^a TIANJIN POLYTECHNIC UNIVERSITY   (China)

^b BEIJING JIAOTONG UNIVERSITY   (China)

^c BEIJING UNIVERSITY OF CIVIL ENGINEERING AND ARCHITECTURE   (China)

^d TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Clustering; Fault diagnosis; FCM; Railway rolling bearing; Wavelet packet

Indexed keywords

CLUSTERING; FAULT DIAGNOSIS; FCM; RAILWAY ROLLING BEARING; WAVELET PACKET;

BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); FUZZY CLUSTERING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; MACHINERY; RAILROADS; WAVELET ANALYSIS;

CLUSTER ANALYSIS;

EID: 79956198464     PISSN: 19759339     EISSN: None     Source Type: Journal    
DOI: 10.4156/jdcta.vol5.issue3.5     Document Type: Article

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