Proceedings ArticleDOI
Detection of minor axial winding movement within power transformers using finite element modeling
Z. W. Zhang,W. H. Tang,Q. H. Wu,Joseph Yan +3 more
- pp 1-5
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TLDR
In this article, the authors presented an accurate computational model of a transformer, using finite element method (FEM), for frequency response analysis (FRA) in both low (<1 MHz) and high frequency ranges.Abstract:
In order to estimate effective frequency-dependent inductances of transformer windings considering diamagnetic properties, this paper presents an accurate computational model of a transformer, using finite-element method (FEM). Therefore, accurate frequency dependent inductances can be applied into a winding model for frequency response analysis (FRA). This research uses a hybrid winding model to investigate minor axial winding movement in both low (<1 MHz) and high frequency ranges. Meanwhile, FEM models with respect to several scenarios of minor axial winding movement are constructed, so that corresponding inductances in accordance with specific cases can be obtained by FEM. Therefore, the influence of variations of electrical parameters can be taken into account for FRA in broad frequency ranges. Three scenarios of minor axial winding movement are analyzed in simulation studies.read more
Citations
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Journal ArticleDOI
Estimation of Design Parameters of Single-Phase Distribution Transformers From Terminal Measurements
TL;DR: In this article, a novel method is proposed for the estimation of the design parameters of single-phase distribution transformers using data acquired from terminal measurements along with nameplate data and external tank dimensions.
Estimation of Design Parameters of Single-Phase Distribution Transformers from Terminal Measurements
TL;DR: In this paper, a novel method is proposed for the estimation of the design parameters of single-phase distribution transformers using data acquired from terminal measurements along with nameplate data and external tank dimensions.
Journal ArticleDOI
Identification of Power Transformer Winding Fault Types by a Hierarchical Dimension Reduction Classifier
TL;DR: In this article, a hierarchical dimension reduction (HDR) classifier is proposed to identify types of typical incipient winding faults, which provides an integration of a priori expertise and quantitative analysis in the furtherance of the automatic identification of FR data.
Dissertation
High frequency finite element modeling and condition assessment of power transformers
TL;DR: A Hierarchical Dimension Reduction (HDR) classifier built on FRA results is proposed in this thesis for condition assessment of power transformers and is able to improve the classification performance in terms of the ability to identify electrical failures and the condition of residual magnetization.
Proceedings ArticleDOI
Application of SFRA techniques to discriminate short circuit faults of transformer winding
TL;DR: This research has identified that, issues in core and winding structures were not sensitive for all configurations and suitability of this feature to use for localizing of mechanical faults was underlined.
References
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Book
Travelling Waves on Transmission Systems
TL;DR: In this paper, the authors present the theory of traveling waves on multi-conductor systems and compile a brief compendium on the general subject of traveling wave on transmission systems, including the effect of line losses in equalizing the subsidence of travelling waves and on their attenuation and distortion.
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.
Journal ArticleDOI
Exploring possibilities for characterization of power transformer insulation by frequency response analysis (FRA)
TL;DR: In this article, the authors explored the possibility of using frequency response analysis (FRA) technique to characterize the quality of transformer insulation and developed a single-phase and a three-phase lumped parameter circuit models.
Journal ArticleDOI
Improved detection of power transformer winding movement by extending the FRA high frequency range
TL;DR: In this article, the effects of the conventional test circuits mask the changes at the higher frequencies, and a new test method is proposed that is effective up to at least 10 MHz.