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Review on Various Fault Detection Methods in Power Transformers with Emphasis on Frequency Response Analysis (FRA) Method
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Abstract: (23 Views) |
The transformer is one of the most expensive components in electrical power systems, where maintenance of both electrical and mechanical integrity plays a vital role in ensuring system reliability and reducing costs associated with service interruptions. So far, various methods have been proposed for transformer condition assessment, among which the most significant are dissolved gas analysis (DGA), vibro-acoustic (VA) method, infrared thermography (IRT) method and frequency response analysis (FRA). In this review paper, different methods for transformer fault detection are investigated, with a particular emphasis on the FRA technique. Among the various condition monitoring techniques, frequency response analysis (FRA) is recognized as one of the most accurate and sensitive methods for evaluating the electrical and mechanical condition of transformers. Therefore, the main objective of this paper is to provide a comprehensive perspective on the FRA technique and clarify different aspects of this diagnostic approach. Finally, various methods for the interpretation of FRA results to identify the type, severity and location of fault are discussed and the challenges in this field are highlighted.
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| Keywords: Transformer condition monitoring, Dissolved Gas Analysis (DGA), Frequency Response Analysis (FRA), Transformer modeling, Artificial Intelligence (AI) |
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Full-Text [PDF 865 kb]
(39 Downloads)
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Type of Study: Scientific-extension |
Subject:
Special
Received: 2026/05/10 | Accepted: 2026/03/16 | Published: 2026/03/16
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