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DEFECTS IDENTIFICATION IN MEDIUM-VOLTAGE CABLES BY APPLYING MULTIVARIATE METHODS

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NOVEMBER 2014   -  Volume: 89 -  Pages: 633-641

DOI:

https://doi.org/10.6036/7161

Authors:

JORDI ROGER RIBA - PAU CASALS TORRENS - RICARDO BOSCH TOUS

Disciplines:

  • Electrical technology and engineering (CONDUCTORES AISLADOS )

Downloads:   367

Cites in Web of Science:  1

How to cite this paper:  
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Received Date :   14 May 2014

Reviewing Date :   14 July 2014

Accepted Date :   19 July 2014


Key words:
descargas parciales, cables aislados, análisis espectral, métodos multivariables, clasificación, Partial discharge, power cable, spectral analysis, multivariate methods, classification.
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

Partial discharges in high-voltage power cables are a focus of concern due to their harmful effects regarding insulation degradation. Therefore, their fast and accurate identification is of paramount importance. This paper deals with the diagnosis and identification of cable defects in medium-voltage XLPE insulated cables. To this end partial discharge pulses are acquired by means of a standard partial discharge detector. Data acquired are further processed by means of the fast Fourier transform and by applying suitable multivariate feature extraction and classification methods, namely principal component analysis, canonical variate analysis and k nearest neighbors. Experimental results show that the proposed identification methodology provides improved classification accuracy, simplicity and very low time response to classify a new sample object.

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