NDLI: Partial discharge pattern analysis using statistical technique in XLPE cable under various soil conditions

Content Provider	IEEE Xplore Digital Library
Author	Mansor, M. Ghani, A.B.A. Ghosh, P.S.
Copyright Year	2002
Description	Author affiliation: Universiti Tenaga Nasional, Selangor, Malaysia (Mansor, M.)
Abstract	Partial discharge (PD) detection and monitoring has gained a paramount interest to all engineers involved in the design of high voltage insulation. Although, the phenomenon of partial discharges in power cables are well known but the effect of soil thermodynamics on PD is not yet well established. An experiment has been carried out to assess the effect of soil thermal resistivity on various PD parameters. The cable sample studied is an 11 kV, single core, 240-mm/sup 2/ XLPE cable. PD patterns are obtained in the form of 2-dimensional statistical distribution. In PD pattern analysis, the most vital stage is "classification". Classification aims at the recognition of patterns from different origin e.g. soil conditions in this present research. In this paper, the classification of PD patterns has been carried out using "Statistical Technique". To identify the characteristic shape of the PD patterns, 30 well known classifiers are used. Once the values of the classifier parameters are known for a given soil condition, then they serve as standard values. These standard values are then used to recognise and classify the PD patterns recorded from other soil conditions.
Starting Page	707
Ending Page	711
File Size	333376
Page Count	5
File Format	PDF
ISBN	0780375025
DOI	10.1109/CEIDP.2002.1048894
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-20
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Partial discharges Pattern analysis Soil Power cables Power cable insulation Pattern recognition Design engineering Power engineering and energy Voltage Thermodynamics
Content Type	Text
Resource Type	Article

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