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Application of support vector machines algorithm for discriminating between external fault and internal winding fault in power transformer
Author(s)
Leelajindakrairerk, Monthon
Suechoey, Boonlert
Date Issued
February 4, 2014
Type
Article
Abstract
The differential relaying principle is used for protection of medium and large power transformers. In the past decade, several decision algorithms have different solutions and techniques. This paper proposes a new technique using discrete wavelet transform (DWT) and support vector machines (SVM) to classify and discriminate between external fault and internal fault in power transformer. The DWT is used to detect the high frequency components from fault signals. The variations of first scale high frequency component that detects fault are used as input for the SVM. The proposed method gives satisfactory accuracy, and will be very useful in the development of a modern protection scheme for electrical power transmission systems. © 2014 ICIC International.
Citation
Icic Express Letters, 8(3), 893-899, 2014