Open AccessSoftware implementation of automatic fault identification based on the Duval Pentagon
Author(s) -
Hong Hu,
Dong Wang,
Jing Fu,
Yanfang Mao,
Ziwei Zhang,
D. T. Wu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1633/1/012135
Subject(s) - pentagon , transformer , software , fault (geology) , computer science , engineering , data mining , electrical engineering , programming language , mathematics , geometry , voltage , seismology , geology
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.