FAULT DETECTION USING FRA IN ORDER TO IMPROVE THE AGING MODEL OF POWER TRANSFORMER
| Autor: | Sasa D. Milic, Denis Ilić, Milan Ponjavic |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Frequency response analysis
Computer science business.industry 0211 other engineering and technologies 020101 civil engineering 02 engineering and technology Structural engineering Aging model Fault detection and isolation fault detection 0201 civil engineering law.invention maintenance monitoring Current practice law Electromagnetic coil 021105 building & construction General Earth and Planetary Sciences frequency response analysis Transformer business General Environmental Science |
| Popis: | Power transformers are constantly exposed to mechanical, thermal and electrical stresses during operation.In this paper, the authors propose an improved aging model of power transformers by adding the impact of mechanical deteriorations. In the current practice,the mechanical deformation and dislocation of the windings and core are not sufficientlydistinguishedas componentsthat influence the aging of the transformer.Hence, the current aging model was expanded with a functional block that containsseveral typicalfailures in order toemphasizetheir impact on thelifetimeof transformers and their aging as well.The authors used the Frequency Response Analysis (FRA) method for the fault detection and location of the mechanical deformations of its active parts. The correlation function is used to determine the level of the detected failure.All presented test results are obtained in real exploitation conditions. |
| Databáze: | OpenAIRE |
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