AUTHOR=Jiao Fei , Ma Zhenyuan , Chen Qikun , Zhang Fengda , Zhao Dezong TITLE=A causal reasoning approach for power transformer failure diagnosis JOURNAL=Frontiers in Energy Research VOLUME=12 YEAR=2024 URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2024.1340421 DOI=10.3389/fenrg.2024.1340421 ISSN=2296-598X ABSTRACT=

Extensive research validates the effectiveness of employing Dissolved Gas Analysis (DGA) for diagnosing electric power transformer failures. However, a significant portion of existing research focuses on static data for classifying failure types, lacking a thorough exploration of causality. This study proposes an approach integrating causality and the DGA framework to infer power transformer failures. Validation through 96 historical samples from diverse transformers demonstrates the capability of this method to identify probable abnormal failures of the power transformer accurately. The proposed causal reasoning method is able to diagnose all common transformer states, accounting for the level of severity in both electrical and thermal failures, and with an accuracy of 95.8%.