Fuzzy theory and its applications in insulation diagnosis of electrical equipment
Long Zhou
(Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of China)
Mian‐Yun Chen
(Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, People’s Republic of China)
284
Abstract
It is an effective approach to combine state signal processing with fuzzy mathematics for recognizing fuzziness and randomness clearly. This paper shows how the fuzzy membership functions are obtained from the result of signal processing of fault diagnosis in electrical equipment. So the properties of electrical equipment are revealed more thoroughly. Finally, the effectiveness of the method was proved by an example.
Keywords
Citation
Zhou, L. and Chen, M. (2004), "Fuzzy theory and its applications in insulation diagnosis of electrical equipment", Kybernetes, Vol. 33 No. 2, pp. 474-478. https://doi.org/10.1108/03684920410514526
Publisher
:Emerald Group Publishing Limited
Copyright © 2004, Emerald Group Publishing Limited