Comparison of PSO-Kapur and DE-Kapur Methods to Determine Ice Load on Aerial Lines

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dc.contributor.authorAkbal, Bahadir
dc.contributor.authorAydin, Musa
dc.date.accessioned2020-03-26T18:49:49Z
dc.date.available2020-03-26T18:49:49Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) -- OCT 23-25, 2014 -- Pitesti, ROMANIAen_US
dc.description.abstractAerial lines are designed according to the calculated a certain ice load amount. If ice load amount on conductor of aerial line is bigger than the calculated ice load amount, aerial line pole bending or conductor breakage can be seen. Joule effect method is proposed to eliminate ice load effect but primarily, the occurred ice load amount on conductor of aerial line must be determined. Ice load amount can be determined with ice thickness of iced conductor. In this study, ice thickness of iced conductor is determined with image segmentation method, but image segmentation is difficult due to high humidity. So, multilevel thresholding method was used to decrease high humidity effect. PSO-Kapur and DE-Kapur Methods were used as multilevel thresholding method. When these results were compared, it was seen that the result of DE-Kapur method was more close to value of real ice thickness according to the result of PSO-Kapur method.en_US
dc.description.sponsorshipIEEE, IEEE Romania sect, IEEE Ind Appl Socen_US
dc.identifier.isbn978-1-4799-5479-7
dc.identifier.issn2378-7147en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30692
dc.identifier.wosWOS:000380489500040en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofPROCEEDINGS OF THE 2014 6TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI)en_US
dc.relation.ispartofseriesInternational Conference on Electronics Computers and Artificial Intelligence
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectDEen_US
dc.subjectPSOen_US
dc.subjectmultilevel thresholdingen_US
dc.subjectimage segmentationen_US
dc.subjectKapur Methoden_US
dc.titleComparison of PSO-Kapur and DE-Kapur Methods to Determine Ice Load on Aerial Linesen_US
dc.typeConference Objecten_US

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