期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2018
卷号：10
期号：2
页码：300-317
DOI：10.15676/ijeei.2018.10.2.8
出版社：School of Electrical Engineering and Informatics
摘要：Condition monitoring of power transformers improves the security and reliabilityof an electrical power system. It protects the transformers from failures, and avoids hugerevenue loss to utilities and customers. The fault diagnosis of transformers is carried out byconcentrations of several dissolved gasses. An accurate fault diagnosis of transformers hasbeen a critical problem for diagnostic experts of transformers. In this article, a novel fuzzylogic model has been proposed to determine the transformer incipient faults. It incorporatesthe information obtained from dissolved gas analysis test. Further, the proposed model alsoincorporates conventional fault diagnosis methods viz. Duval Triangle, Doernenburg,Rogers, and IEC ratio code methods. The proposed fuzzy logic models short out theproblems occur in the conventional fault diagnosis methods of transformers.
