NDLI: Insulation defect localization through partial discharge measurements and numerical classification

Content Provider	IEEE Xplore Digital Library
Author	Poyhonen, S. Conti, M. Cavallini, A. Montanari, G.C. Filippetti, F.
Copyright Year	2004
Description	Author affiliation: Lab. of Control Eng., Helsinki Univ. of Technol., Finland (Poyhonen, S.)
Abstract	Partial discharge (PD) analysis is a fundamental tool to guide decision making in electrical insulation diagnosis for condition based maintenance. In this paper, PD signals are analyzed to localize defects in insulation systems. The task of automatic defect localization with respect to electrodes has a wide range of industrial applications. In fact, depending on the apparatus type, risk assessment is remarkably affected by defect location with respect to the electrodes. In this study, various parameters are first extracted from PD distributions, and statistical analysis is performed to select the most significant parameters concerning localization. Then, the localization process is carried out through numerical classification. Three different classification methods are compared to find the best approach for this application. Comparing a k-nearest neighbor classifier, a probabilistic neural network and a support vector machine (SVM) based classifier, the best results are gained with SVM. although the former two are simpler to implement and easier to tune. SVM based classification has not been applied in PD analysis before this research.
Starting Page	417
Ending Page	422
File Size	1389699
Page Count	6
File Format	PDF
ISBN	0780383044
DOI	10.1109/ISIE.2004.1571844
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-04
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Partial discharge measurement Partial discharges Support vector machines Support vector machine classification Electrodes Decision making Dielectrics and electrical insulation Signal analysis Risk management Statistical analysis support vector machine. partial discharges insulation systems defect localization
Content Type	Text
Resource Type	Article

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