Detection and Classification of Lamination Faults in a 15 kVA Three-Phase Transformer Core Using SVM, KNN and DT Algorithms

Detection and Classification of Lamination Faults in a 15 kVA Three-Phase Transformer Core Using SVM, KNN and DT Algorithms

This paper deals with the detection and classification of two types of lamination faults (i.e., edge burr and lamination insulation faults) in a three-phase transformer core. Previous experimental results are exploited, which are obtained by employing a 15 kVA transformer under healthy and faulty co...

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Bibliographic Details
Main Authors: Ehsan Altayef, Fateh Anayi, M. Packianather, Youcef Benmahamed, Omar Kherif
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Edge burrs
classification algorithm
decision tree algorithm
fault detection
lamination insulation
KNN classifier
Online Access:https://ieeexplore.ieee.org/document/9772656/

Internet

https://ieeexplore.ieee.org/document/9772656/

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