DocumentCode :
473402
Title :
Study on power transformer fault diagnosis method based on fuzzy tree
Author :
Wu, Tong ; Tu, Guangyu ; Luo, Yi ; Wu, Jun
Author_Institution :
Electr. Power Security & High Eiliciency Lab., Huazhong Univ. of Sci. & Technol., Beijing
fYear :
2007
fDate :
3-6 Dec. 2007
Firstpage :
213
Lastpage :
216
Abstract :
Being one of the most important equipments for power transmission, the fault diagnosis and analysis of power transformer is the key to the security and reliability of power supplies. It leads to uncertainties and randomicity for the fault happening that the complicated structures of power transformers and its operating environment, and it is hard to accumulate the statistical information of fault events for the low occurring rate of power transformer fault. It is mentioned in this paper that the fault analysis for transformers with the method of fuzzy fault tree based on fuzzy theory, which turns the fault rate into fuzzy math fault rate and processes probability estimation on the fault using expert graded method without statistical information. The way of it changed into fuzzy math is expatiated and an applied example is also been offered. The result shows that the analysis method of fuzzy fault tree provided well agility and adaptability. Tt has highly value of engineering practicability in the field of transformer fault analysis and fault prevention.
Keywords :
fault diagnosis; fuzzy set theory; gradient methods; power system security; power transformers; power transmission faults; power transmission reliability; statistical analysis; expert graded method; fault prevention; fault processes probability estimation; fuzzy fault tree based on fuzzy theory; power supplies reliability; power transformer fault diagnosis method; power transmission security; statistical information; Fault diagnosis; Power engineering; Power transformers; Fault analysis; Fault tree; Fuzzy sets; Power transformer; System reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Conference, 2007. IPEC 2007. International
Conference_Location :
Singapore
Print_ISBN :
978-981-05-9423-7
Type :
conf
Filename :
4510030
Link To Document :
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