Synthetic diagnostic method for insulation fault of oil-immersed power transformer

descriptionPublicationkeyboard_double_arrow_right Article 07 Nov 2002Publisher:IEEEJournal:Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials (Cat. No.00CH36347), volume 2, pages 872-875

Authors: null Qian Zheng; null Yang Minzhong; null Yan Zhang;

doi: 10.1109/icpadm.2000.876367

Synthetic diagnostic method for insulation fault of oil-immersed power transformer

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Abstract

A diagnostic method considering the information of dissolved gas analysis (DGA) and electrical items synthetically is presented. A neural network using the DGA results is applied to achieve the initial conclusion. Then, several fuzzy equations are established to realize the detailed diagnosis. As many sorts of electrical data and relevant DGA information are selected in different fuzzy equations, the accuracy of the detailed diagnosis will be higher. With the advantage that the results of DGA and electrical items are combined in the diagnostic method, the accuracy should be increased significantly.

Related Organizations

Xi’an Jiaotong-Liverpool University
China (People's Republic of)

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