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