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Proceedings ArticleDOI

Instrument transformer winding fault analysis using frequency response analysis

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TLDR
Frequency response analysis based testing of transformers is one of the methods that have been introduced recently that enables the identification of winding deformations resulting from the short circuit currents and winding dislocations occurring during transportation, and can be used to assess the state of electrical insulation.
Abstract
Improvement of diagnostic methods for both power and Instrument transformer is crucial considering the part they play in electrical networks as well as their cost. Frequency response analysis based testing of transformers is one of the methods that have been introduced recently. This method enables the identification of winding deformations resulting from the short circuit currents and winding dislocations occurring during transportation, and can also be used to assess the state of electrical insulation. The damage may cause a change in the physical condition of transformer which would be reflected in the electrical parameters- resistance, inductance and capacitance. The insulation performance is influenced by thermal, electrical and mechanical stresses. The displacement of windings can occur during transportation of transformers or during a short circuit near the transformer in the power system. The Frequency Response Analysis (FRA) can detect the type of fault and the exact location of fault. FRA essentially consists of measuring the impedance of transformer windings over a wide range of frequencies and comparing the results with a reference set. There are two ways of injecting the wide range of frequencies necessary, either by injecting an impulse into the winding or by making a frequency sweep using a sinusoidal signal. The former method is known as the impulse response method and the latter is known as the swept frequency method. The result obtained for the various fault condition is compared with the reference set and the conclusions are drawn.

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Citations
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A newly-designed fault diagnostic method for transformers via improved empirical wavelet transform and kernel extreme learning machine

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A Smart Frequency Domain-Based Modeling Procedure of Rogowski Coil for Power Systems Applications

TL;DR: A smart way for the equivalent parameters’ computation of the Rogowski coil is focused on and the results have been used to validate Rogowski’s output estimate procedure presented by the authors in a previous work.
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A Novel Power Transformer Fault Diagnosis Model Based on Harris-Hawks-Optimization Algorithm Optimized Kernel Extreme Learning Machine

TL;DR: Wang et al. as mentioned in this paper presented a novel DGA method for power transformer fault diagnosis based on Harris-Hawks-optimization (HHO) algorithm optimized kernel extreme learning machine (KELM).
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Transformer Short Circuit Detection Methods and Improvement of Anti-short Circuit Ability Based on Digital Twin Technology: A Survey

TL;DR: In this article , the authors proposed a transformer short-circuit monitoring scheme based on the principle of transformer internal electromagnetic and winding vibration, and the concept of transformer online monitoring based on digital twin technology is proposed.
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Transformer Short Circuit Detection Methods and Improvement of Anti-short Circuit Ability Based on Digital Twin Technology: A Survey

TL;DR: In this article , the authors proposed a transformer short-circuit monitoring scheme based on the principle of transformer internal electromagnetic and winding vibration, and the concept of transformer online monitoring based on digital twin technology is proposed.
References
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Journal ArticleDOI

Diagnosing transformer faults using frequency response analysis

TL;DR: In this article, the authors measured the impedance of transformer windings over a wide frequency range and compared the results with reference data using a network analyzer to sweep the frequency range, make the measurements, and analyze the results.
Proceedings ArticleDOI

Methods for comparing frequency response analysis measurements

TL;DR: In this article, the authors present and evaluate a number of methods for comparing the results of frequency response analysis (FRA) measurements on power and distribution transformers, considering the importance of avoiding both false positive and false negative results.
Proceedings ArticleDOI

Transformer diagnosis using frequency response analysis: results from fault simulations

S.A. Ryder
TL;DR: In this article, the authors present an assessment of which faults can be detected using frequency response analysis (FRA) and how different faults may be distinguished using the test method and the method used by the author for presenting the results.
Proceedings ArticleDOI

Sensitive method for detection of winding deformation during short circuit test

TL;DR: In this article, the authors show that optimized multisine excitation has the potential of high sensitivity towards displacement identification, and they also show that a multispectral excitation with high sensitivity has a high sensitivity toward displacement identification.
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