DocumentCode :
577830
Title :
Dynamic fault tree analysis based fault diagnosis system of power transformer
Author :
Guo, Jiang ; Shi, Lei ; Zhang, Kefei ; Gu, Kaikai ; Bai, Weimin ; Zeng, Bing ; Liu, Yajin
Author_Institution :
Key Lab. of Transients in Hydraulic Machinery, Wuhan, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
3077
Lastpage :
3081
Abstract :
The process of transformer fault diagnosis and the theory of DFTA are first presented in this paper and then we apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer is designed and implemented. With the implementation and application of the DFTA diagnosis system, it´s easy to get a reasonable result from the computer with the help of experts. The practical results demonstrated that the system can highly improve the accuracy of transformer fault diagnosis and effectively improve the reliability and safety transformer which brings much economic benefits in return.
Keywords :
fault diagnosis; fault trees; power transformer testing; DFTA; dynamic fault tree analysis; power transformer; safety transformer; self learning enabled fault diagnosis system; Automation; Educational institutions; Fault diagnosis; Fault trees; Intelligent control; Laboratories; Power transformers; DFTA; Fault Diagnosis System; Power Transformer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358400
Filename :
6358400
Link To Document :
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