Title :
A new method of diagnosing turbogenerator´s vibration fault based on fuzzy clustering analysis and wavelet packets transform
Author :
Bide, Zhang ; Caixin, Sun ; Jian, Ou ; Xuesong, Hu ; Yinchun, Zhou
Author_Institution :
Lab. of High Voltage Eng. & Electr. New Technol., Minist. of Educ., Chongqing, China
Abstract :
Combined with vibration fault features of a turbogenerator, a new method of fault diagnosis based on fuzzy clustering analysis and wavelet packets transform is proposed in this paper. The experimental results show that this method is available to diagnose the turbogenerator´s vibration fault and it can be used extensively in future
Keywords :
fault diagnosis; fuzzy set theory; statistical analysis; turbogenerators; wavelet transforms; fault diagnosis; fuzzy clustering analysis; turbogenerator; vibration fault features; wavelet packets transform; Discrete wavelet transforms; Fault diagnosis; Frequency; Laboratories; Low pass filters; Sun; Turbogenerators; Wavelet analysis; Wavelet packets; Wavelet transforms;
Conference_Titel :
Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
7-5062-5115-9
DOI :
10.1109/ICEMS.2001.970681