Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach

A method of estimating the lightning-impulse critical-flashover (CFO) insulation strength of two components used on distribution construction is presented. The multiple regression technique (MRT) has been applied to comprehensive CFO data of two dielectric materials in series. General CFO population...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Shwehdi, M.H. (author)
مؤلفون آخرون: Shahzad, F. (author), Izzularab, M. (author), Abu-Al-Feilat, E.A. (author), unknown (author)
التنسيق: article
منشور في: 1998
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14730/1/14730_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14730/2/14730_2.doc
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author Shwehdi, M.H.
author2 Shahzad, F.
Izzularab, M.
Abu-Al-Feilat, E.A.
unknown
author2_role author
author
author
author
author_facet Shwehdi, M.H.
Shahzad, F.
Izzularab, M.
Abu-Al-Feilat, E.A.
unknown
author_role author
dc.creator.none.fl_str_mv Shwehdi, M.H.
Shahzad, F.
Izzularab, M.
Abu-Al-Feilat, E.A.
unknown
dc.date.none.fl_str_mv 1998-03
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14730/1/14730_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14730/2/14730_2.doc
(1998) Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach. Generation, Transmission and Distribution, IEE Proceedings-, 145.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14730/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description A method of estimating the lightning-impulse critical-flashover (CFO) insulation strength of two components used on distribution construction is presented. The multiple regression technique (MRT) has been applied to comprehensive CFO data of two dielectric materials in series. General CFO populations of two-component models and sample models for different combination of two materials have been developed. A diagnostic correction test is performed for the general case and for each combination model, to decide which models fit well. Suggestions are made regarding the more accurate prediction model, and the main factors that might have affected predicted results are emphasised. Also, a procedure to predict values outside the experimental results range is described for other sizes and lengths of the tested components. This procedure may be a good tool for finding better insulation added in distribution systems
eu_rights_str_mv openAccess
format article
id KFUPM_940af7e80a1fdf01a2d7642afe890035
identifier_str_mv (1998) Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach. Generation, Transmission and Distribution, IEE Proceedings-, 145.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14730
publishDate 1998
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproachShwehdi, M.H.Shahzad, F.Izzularab, M.Abu-Al-Feilat, E.A.unknownComputerA method of estimating the lightning-impulse critical-flashover (CFO) insulation strength of two components used on distribution construction is presented. The multiple regression technique (MRT) has been applied to comprehensive CFO data of two dielectric materials in series. General CFO populations of two-component models and sample models for different combination of two materials have been developed. A diagnostic correction test is performed for the general case and for each combination model, to decide which models fit well. Suggestions are made regarding the more accurate prediction model, and the main factors that might have affected predicted results are emphasised. Also, a procedure to predict values outside the experimental results range is described for other sizes and lengths of the tested components. This procedure may be a good tool for finding better insulation added in distribution systemsIEEE1998-032020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14730/1/14730_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14730/2/14730_2.doc (1998) Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach. Generation, Transmission and Distribution, IEE Proceedings-, 145. enenhttps://eprints.kfupm.edu.sa/id/eprint/14730/info:eu-repo/semantics/openAccessoai::147302019-11-01T14:07:10Z
spellingShingle Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach
Shwehdi, M.H.
Computer
status_str publishedVersion
title Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach
title_full Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach
title_fullStr Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach
title_full_unstemmed Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach
title_short Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach
title_sort Multiple regression technique for estimating the insulationstrength of series dielectrics on distribution systems: a statisticalapproach
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14730/1/14730_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14730/2/14730_2.doc