DocumentCode
525983
Title
Research and development On-line fault diagnosis device
Author
Yao, Zheng ; Lou, Guohuan ; Wang, Zhaohua
Author_Institution
Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan, China
Volume
1
fYear
2010
fDate
12-13 June 2010
Firstpage
242
Lastpage
245
Abstract
The motors are widely used in industry and play an important role. Their statuses are related to the production and security directly. Wireless-intelligent device is presented for On-line diagnosing the complexity of motor faults, and wavelet packet decomposition and the principle of fuzzy are proposed in this paper based on analyzing the motor fault. Proved by experiment that wavelet packet can effectively de-noise and the fuzzy diagnosis principle is taken as basics. It can also be applied to other complex systems fault diagnosis and has certain portability.
Keywords
electric motors; fault diagnosis; fault trees; fuzzy set theory; wavelet transforms; fuzzy diagnosis principle; motor fault analysis; online fault diagnosis device; wavelet packet decomposition; wireless-intelligent device; fault diagnosis; wavelet; wireless;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6944-4
Type
conf
DOI
10.1109/CCTAE.2010.5544322
Filename
5544322
Link To Document