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Fault diagnosis system based on Dynamic Fault Tree Analysis of power transformer

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7 Author(s)
Jiang Guo ; Key Laboratory of Transients in Hydraulic Machinery, Ministry of Education, School of Power and Mechanical Engineering, Wuhan University, China ; Kefei Zhang ; Lei Shi ; Kaikai Gu
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Firstly, this research paper introduced the process of transformer fault diagnosis and the theory of DFTA and then we attempt to 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 developed. With the implementation and application of the DFTA fault diagnosis system, it's relatively easier to get reasonable results from the aggregating computers and experts. The practical results demonstrated that the system can highly improve the accuracy of transformer fault diagnosis and effectively improve the reliability and safety of transformer, which brings more economic benefits in return.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Date of Conference:

29-31 May 2012