Locating Inter-Turn Faults in Transformer Windings Using Isometric Feature Mapping of Frequency Response Traces
Author ORCID Identifier
https://orcid.org/0000-0002-9811-350X - Fazel Mohammadi
Document Type
Article
Publication Date
10-10-2021
Publication Title
IEEE Transactions on Industrial Informatics
Volume
17
Issue
10
First Page
6962
Keywords
Windings, Circuit faults, Frequency response, Power transformer insulation, Fault location, Integrated circuit modeling
Last Page
6970
Abstract
Power transformers usually confront various mechanical and electromagnetic stresses during an operation that may lead to defects in their windings. The short circuit in the windings is one of those severe defects. Early detection of short-circuits is necessary as extra heating in the shorted location can lead to progressive damage in windings insulation. Frequency response analysis (FRA) is a well-known method to diagnose short-circuits in transformers. Despite the accuracy of FRA, the interpretation of the obtained frequency response traces (FRTs) is still an intricate task. Due to the unknown impact of faults on FRTs, extracting efficient features from such traces is necessary for the interpretation of transformer's frequency response. In this article, an isometric feature mapping (Isomap) is used as a nonlinear dimensionality reduction technique to locate interturn faults in transformer windings due to its capability of capturing the nonlinear phenomena in FRT of power transformers. It is revealed that, after constructing the isometric mapping for a transformer, there is no need for any expertise to detect fault location even in nondirect (high impedance) short-circuits. In other words, it can be the first step for the automated interpretation of FRA of power transformers.
DOI
10.1109/TII.2020.3016966
Recommended Citation
Moradzadeh, Arash; Pourhossein, Kazem; Mohammadi-Ivatloo, Behnam; and Mohammadi, Fazel. (2021). Locating Inter-Turn Faults in Transformer Windings Using Isometric Feature Mapping of Frequency Response Traces. IEEE Transactions on Industrial Informatics, 17 (10), 6962-6970.
https://scholar.uwindsor.ca/electricalengpub/38