Software implementation of automatic fault identification based on the Duval Pentagon

Author:

Hu Hong,Wang Dong,Fu Jing,Mao Yanfang,Zhang Ziwei,Wu Denghai

Abstract

Abstract Dissolved Gas Analysis (DGA) is one of the most widely used monitoring technology for oil immersed power transformers. The Duval Pentagon method is a graphic interpretation method of DGA. Besides the six typical faults usually interpreted by DGA, this method also can be used alone to bring auxiliary information about the internal faults of power transformers. Based on Duval Pentagon method, this paper presents a detailed software implementation process of automatic fault identification for power transformers. Moreover, this paper also offers clear threshold conditions which indicate the abnormality of DGA results before applying the Duval Pentagon method to improve the practical use of this DGA interpretation method. Thus, the program developed by this paper can provide a commercial system of DGA interpretation.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of Multi-Layer Perceptron Model for Power Transformer Fault Identification Expert System;2023 International Conference on Electrical and Information Technology (IEIT);2023-09-14

2. Design and Implementation of Automatic Fault Identification System Based on Computer Vision;2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE);2022-12

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