Paper
13 May 2024 Review on fault diagnosis of power transformer
Peilong Geng, Yonggang Li, Jingfu Gan, Wentao Liu, Yujian Chu
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315968 (2024) https://doi.org/10.1117/12.3024664
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
The power transformer serves as a vital apparatus in the power system, with its steady function being significantly essential for the fluid execution of voltage conversion and distribution. The efficiency and precision of fault diagnosis methodologies can substantially aid in maintaining the consistent and stable operation of the transformer. This paper addresses the progression of transformer winding monitoring technology, touching upon the current investigative status concerning data purification, monitoring parameter forecasting, and the fault diagnosis model amidst the transformer fault diagnosis. It is imperative to fortify the research direction of transformer fault diagnosis technology in forthcoming future endeavors. Delving more profound into the realm of transformer fault diagnosis research has substantial implications in bolstering the efficiency and precision of fault diagnosis, thereby enhancing the operational stability of power transformers.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Peilong Geng, Yonggang Li, Jingfu Gan, Wentao Liu, and Yujian Chu "Review on fault diagnosis of power transformer", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315968 (13 May 2024); https://doi.org/10.1117/12.3024664
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KEYWORDS
Transformers

Evolutionary algorithms

Data modeling

Vibration

Detection and tracking algorithms

Environmental monitoring

Diagnostics

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