DocumentCode
3227460
Title
A Method of Diagnosing Power Transformer´s Fault Based on Fuzzy c and Immune Genetic Algorithm
Author
Zhang Bide ; Li Yanrui ; Lin Zhaohui ; Fang Chunen
Author_Institution
Sch. of Electr. Eng. & Inf., Xihua Univ., Chengdu
Volume
2
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
875
Lastpage
879
Abstract
The local best solution is often gotten by fuzzy c. But the whole best solution can be gotten by immune genetic algorithm (IGA) effectively. In this paper, a new method that integrates fuzzy c with IGA is put forward for fault diagnosis of power transformer. The method converts the problem about minimum for fuzzy c to the problem about maximum for IGA. From the practice, the new method can diagnose the power transformerpsilas faults effectively. It has higher reliability and practicability.
Keywords
fault diagnosis; fuzzy set theory; genetic algorithms; power transformers; fault diagnosis; fuzzy c algorithm; immune genetic algorithm; power transformer; Automation; Clustering methods; Dissolved gas analysis; Fault diagnosis; Genetic algorithms; IEC; Power engineering computing; Power system analysis computing; Power system faults; Power transformers; fault diagnosis; fuzzy c; immune genetic algorithm; power transformer;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.235
Filename
4659887
Link To Document