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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/113

Title: Modelling partial discharge inception and extinction voltages of sheet samples of solid insulating materials using an artificial neural network
Authors: Ghosh, S
Kishore, N K
Keywords: neural nets
organic insulating materials
partial discharges
Issue Date: 2002
Publisher: IEE
Citation: IEE Proceedings-Science, Measurement and Technology, Vol 149, Iss 2, P 73-78
Abstract: This work attempts an estimation of partial discharge inception and extinction voltages (PDIV and PDEV) of sheet samples of solid dielectrics due to void inclusions of different sizes using an ANN. The effect of void dimensions and also the dielectric thickness of three common insulating materials, namely, Leatherite paper, polyethylene film and Perspex sheets on PDIVs and PDEVs are examined. Further, the effect of the permittivity of the insulating materials is also examined
Description: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEE. Link: 10.1049/ip-smt:20020193 (DOI)
URI: http://hdl.handle.net/2080/113
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