Application of wavelet analysis-cluster fuzzy to fault diagnosis of roller bearings

Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis

Volumn 28, Issue 2, 2008, Pages 151-154

  Cui, Baozhen ^a   Wang, Zebing ^a   Pan, Hongxia ^a  

^a NORTH UNIVERSITY OF CHINA   (China)

Author keywords

Fault diagnosis; Fuzzy cluster analysis; Roller bearings; Wavelet analysis

Indexed keywords

BEARINGS (STRUCTURAL); CLUSTER ANALYSIS; DATA PROCESSING; ELECTRIC FAULT CURRENTS; FEATURE EXTRACTION; FUZZY LOGIC; RANDOM VARIABLES; ROLLER BEARINGS; WAVELET ANALYSIS; WAVELET TRANSFORMS;

BEARING VIBRATION; EN ERGY SPECTRUM; ENGINEERING APPLICATIONS; FAULT DIAGNOSIS (FD); FUZZY CLUSTER ANALYSIS; INNER RINGS; MEASURED DATA; NORMAL STATES; OPERATION CONDITIONS;

ROLLERS (MACHINE COMPONENTS);

EID: 47549104779     PISSN: 10046801     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. Wang W J, McFadden P D. Application of Wavelets to gearbox vibration Signals for Fault detection[J]. Journal of Sound and Vibration, 1996, 192(5): 927-939.
2. Lin Jing, Qu Liangsheng. Feature detection and fault diagnosis based on continuous wavelet transform[J]. Chinese Journal of Mechanical Engineering, 2000, 36(12): 95-100. (in Chinese)
3. Jia Minping, Xu Feiyun. Wavelet scale function and its application to fault diagnosis of rotating machinery[J]. Journal of Vibration, Measurement and Diagnosis, 2004, 24(1): 6-10. (in Chinese)
4. Yao Zhuting, Pan Hongxia. Application of wavelet package analysis on fault diagnosis of vehicle[C]//International Symposium on Test and Measurement (ISTM). Beijing: Published and Distributed by International Academic Publishers Beijing World Publishing Corporation, 2003.