Confidence Level Estimation for Advanced Decision-Making in Transformer Short-circuit Fault Diagnosis
Nurmanova V. Akhmetov Y. Bagheri M. Zollanvari A. Phung B.T. Gharehpetian G.B.
2022Institute of Electrical and Electronics Engineers Inc.
IEEE Transactions on Industry Applications
2022#58Issue 1233 - 241 pp.
Frequency response analysis (FRA) is almost certainly the most efficient and well-established method for evaluating the mechanical integrity of transformer active part. FRA has a solid background in both industrial practice and academic research. Besides conventional visual analysis, a statistical analysis has been applied to the FRA data interpretation. The existing standards and recent studies have considered different statistical indicators (SIs) on an individual basis. However, the utility of each SI in its silo may lead to different and possibly contradictory decisions. Inspired by the bolstered error estimation technique used in pattern recognition, this article presents a new method that can utilize multiple SIs obtained from the FRA data to classify transformer operating conditions and estimate the level of confidence in decisions made. The probabilistic method proposed herein is an attempt to bridge the gap between these decision-making silos. The practical implementation of the proposed technique on distribution and power transformers revealed a reliable interpretation and classification results. At the same time, having an estimate for the level of confidence in the decision made by the method further helps engineers and utility operators make informed decisions and have a better understanding of the level of the transformer fault severity.
Bolstered technique , confidence level estimation , frequency response analysis , frequency response analysis (FRA) interpretation , statistical indicators (SIs) , transformer short-circuit
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Department of Electrical and Computer Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan
School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
Department Electrical Engineering, Amirkabir University, Tehran, Iran
Department of Electrical and Computer Engineering
School of Electrical Engineering and Telecommunications
Department Electrical Engineering
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Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026