The temperature-variation fault diagnosis of high-voltage electric equipment based on information fusion

Author

Li, Yong-wei ; Han, Xing-de ; Wang, Zhen-Yu

Author_Institution

Coll. of Electr. Eng. & Inf. Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang

Volume

1

fYear

2008

fDate

12-15 July 2008

Firstpage

127

Lastpage

130

Abstract

As high-voltage electric equipment has complex structure and works in harsh environment, FBG (fiber Bragg gating) sensors were applied to realize the real-time monitoring of some characters in which temperature was taken as the main factor. Using neural network to recognize and classify fault types, making a further fusion of fault information by expert system. After simulation and experiment, it shows good results, and provides a effective way to realize the monitoring and exact diagnosis of temperature-variation fault on high-voltage electric equipment.

Keywords

diagnostic expert systems; fault diagnosis; neural nets; power apparatus; power engineering computing; FBG sensors; expert system; fault information; fiber Bragg grating; high-voltage electric equipment; information fusion; neural network; temperature-variation fault diagnosis; Bragg gratings; Computerized monitoring; Diagnostic expert systems; Fault diagnosis; Fiber gratings; Optical fiber devices; Optical fiber sensors; Sensor arrays; Temperature measurement; Temperature sensors; FBG; Information fusion; expert system; high-voltage electric equipment temperature-variation fault diagnosis; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620391

Filename

4620391