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dc.contributor.authorDOKUR, EMRAH
dc.contributor.authorERSOY, AYSEL
dc.contributor.authorKoksal, Cagri
dc.date.accessioned2022-07-04T13:21:28Z
dc.date.available2022-07-04T13:21:28Z
dc.identifier.citationKoksal C., DOKUR E., ERSOY A., "Stress Cone Effect Analysis and Optimum Design of Extra High-Voltage Cable Joint Using Neural Networks", MATHEMATICAL PROBLEMS IN ENGINEERING, cilt.2022, 2022
dc.identifier.issn1024-123X
dc.identifier.othervv_1032021
dc.identifier.otherav_4510f85a-df99-422a-ab60-aa1b70697727
dc.identifier.urihttp://hdl.handle.net/20.500.12627/182540
dc.identifier.urihttps://avesis.istanbul.edu.tr/api/publication/4510f85a-df99-422a-ab60-aa1b70697727/file
dc.identifier.urihttps://doi.org/10.1155/2022/6452538
dc.description.abstractThe major problem in high-voltage cable accessories is the electric field stress caused by the high-voltage level at the cable junction. In this paper, a neural network and simulation-based optimal design for extra high-voltage (EHV) cable accessory is proposed to ensure the optimum electrical design. The different kinds of geometries of the EHV underground cable accessory are realized in the Comsol Multiphysics software program, and the electric field analyses are conducted based on the finite element method. The design of high-voltage underground cable accessories is examined both within and without the optimal stress cone geometry. A neural network-based model is developed according to the analysis results obtained in the simulation. Thanks to this model, the geometry of the stress cone is determined. In the simulation-based analysis, the electric field stress caused by the high-voltage level at critical points is controlled with an optimum joint design using neural networks. The proposed model will contribute to EHV cable joint design at different stress levels.
dc.language.isoeng
dc.subjectAnalysis
dc.subjectGeneral Engineering
dc.subjectAlgebra and Number Theory
dc.subjectComputational Mathematics
dc.subjectMathematics (miscellaneous)
dc.subjectEngineering (miscellaneous)
dc.subjectMedia Technology
dc.subjectGeneral Mathematics
dc.subjectPhysical Sciences
dc.subjectHarita Mühendisliği-Geomatik
dc.subjectMühendislik ve Teknoloji
dc.subjectTemel Bilimler (SCI)
dc.subjectMatematik
dc.subjectMATEMATİK, İNTERDİSKÜP UYGULAMALAR
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, MULTİDİSİPLİNER
dc.titleStress Cone Effect Analysis and Optimum Design of Extra High-Voltage Cable Joint Using Neural Networks
dc.typeMakale
dc.relation.journalMATHEMATICAL PROBLEMS IN ENGINEERING
dc.contributor.departmentİstanbul Üniversitesi-Cerrahpaşa , ,
dc.identifier.volume2022
dc.contributor.firstauthorID3433614


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