DocumentCode :
2061141
Title :
Research of a new transformer fault diagnosis expert system
Author :
Minfeng Shao ; Congming Qiu
Author_Institution :
China Electr. Power Res. Inst., Beijing, China
fYear :
2012
fDate :
10-14 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
In order to improve safety and economy of the power transformer operation, and guide operator deal with transformer abnormal condition, as well as how to find out the fault causes of the malfunction quickly, In this paper, a new power transformer fault diagnosis expert system was established. The system first uses rough set method and expert experience to simplify the knowledge of fault sample database, eliminate redundant information, form refined rules and input them into the knowledge base of the expert system. During the fault reasoning, the diagnosis or corresponding processing scheme are obtained by analyzing the matching between existing quantity of state of the transformer and the rules in the knowledge base. The example analysis shows, this system can effectively guide the working staff.
Keywords :
expert systems; fault diagnosis; power engineering computing; power transformers; power transformer fault diagnosis expert system; power transformer operation economy; power transformer operation safety; Expert system; Inference engine; Interactive; Knowledge reduction; Rough set; matching degree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electricity Distribution (CICED), 2012 China International Conference on
Conference_Location :
Shanghai
ISSN :
2161-7481
Print_ISBN :
978-1-4673-6065-4
Electronic_ISBN :
2161-7481
Type :
conf
DOI :
10.1109/CICED.2012.6508608
Filename :
6508608
Link To Document :
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