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http://dx.doi.org/10.4313/JKEM.2007.20.1.065

Classification of Insulation Fault Signals for High Voltage Motors Stator Winding using Image Signal Process Technique  

Park, Jae-Jun (중부대학교 전기전자공학과)
Kim, Hee-Dong (한전전력연구원)
Publication Information
Journal of the Korean Institute of Electrical and Electronic Material Engineers / v.20, no.1, 2007 , pp. 65-73 More about this Journal
Abstract
Pattern classification of single and multiple discharge sources was applied using a wavelet image signal method in which a feature extraction was applied using a hidden sub-image. A feature extracting method that used vertical and horizontal images using an MSD method was applied to an averaging process for the scale of pulses for the phase. A feature extracting process for the preprocessing of the input of a neural network was performed using an inverse transformation of the horizontal, vertical, and diagonal sub-images. A back propagation algorithm in a neural network was used to classify defective signals. An algorithm for wavelet image processing was developed. In addition, the defective signal was classified using the extracted value that was quantified for the input of a neural network.
Keywords
MSD; Wavelet transform; Stator winding; Partial discharge; Wavelet-neural network;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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