DocumentCode
3156137
Title
The application of fuzzy logic theory and information technology in optimal maintenance of electric equipment
Author
Yanxia, Chen ; Xianggen, Yin ; Zhe, Zhang ; Deshu, Chen ; Yufeng, Hu
Author_Institution
Dept. of Electr. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
3
fYear
2002
fDate
6-10 Oct. 2002
Firstpage
2257
Abstract
The performance of electric equipment can be influenced by many factors, so fuzzy logic and expert system methods are being introduced to resolve this problem and a maintenance analysis system based on fuzzy logic is founded. This system is an object-oriented one and the input information is affluent. Through applying information technology to make full use of information, it´s possible to realize optimal maintenance of equipments. In this system, data are acquired and processed by local intelligent equipment. With careful consideration, planning and sharing of data, the information for condition monitoring system can be derived. Decision making can he accomplished by software programming. Through this way, the hardware and software configuration of the condition monitoring system can be simplified. And the pressure of data communication and processing in the system can be alleviated. The efficiency of information can be improved, too. An application system for substations is listed.
Keywords
condition monitoring; diagnostic expert systems; fault diagnosis; fuzzy logic; maintenance engineering; power apparatus; power engineering computing; condition monitoring system; electric equipment maintenance optimisation; expert system; fuzzy logic; information technology; intelligent equipment; object oriented system; software programming; substations; Application software; Condition monitoring; Data communication; Decision making; Expert systems; Fuzzy logic; Hardware; Information technology; Performance analysis; Substations;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES
Print_ISBN
0-7803-7525-4
Type
conf
DOI
10.1109/TDC.2002.1177815
Filename
1177815
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