REVIEW ARTICLE


Unified Grey Relational Analysis on Transformer DGA Fault Diagnosis



Wang Qizhi*, 1, Wang Xiaoxia1
1 College of Mechanical Engineering and Automation, Huaqiao University, Jimei Street 668, Xiamen, Fujian, 361021, China
2 College of Computer Science & Technology, Huaqiao University, Jimei Street 668, Xiamen, Fujian, 361021, China


© 2014 Qizhi and Xiaoxia

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the College of Mechanical Engineering and Automation, Huaqiao University, Jimei Street 668, Xiamen, Fujian, 361021, China; Tel:13655991726; Fax: 0595-22866969; E-mail: wangqz@hqu.edu.cn


Abstract

Power transformer is one of the most important equipments in the electric system. Dissolved Gases Analysis is an important method in the diagnosis of internal fault of transformers. Because the signs and types of fault have complicated nonlinear relations, the traditional methods cannot exactly meet the requirements of engineer application. This paper proposes synthesis of relational grey incidence to analyze the comparability and the proximity of the sequence which can effectively diagnose the type of transformer faults.

Keywords: Dissolved gases of power transformer, Unified relational grey analysis, DGA technique, Grey relational analysis.