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
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;
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
DOI :
10.1109/CCTAE.2010.5544322