Matches in SemOpenAlex for { <https://semopenalex.org/work/W2905067259> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2905067259 endingPage "7425" @default.
- W2905067259 startingPage "7417" @default.
- W2905067259 abstract "In order to obtain a good optimization method for the electrical transformer design with optimal selection of parameters, performance evaluation of three evolutionary algorithms (EAs), namely, genetic algorithm (GA), differential evolution algorithm, and nondominated sorting GA (NSGA-II), is carried out. The aim of this paper is to optimize parameters of transformer design (core thicknesses, primary-turn number, secondary-turn number, primary conductor area, and secondary conductor area) for minimization of total power losses (no-load losses and load losses) in three-phase transformer topology while maintaining high efficiency and low cost. The method used for this optimization scheme combines the finite-element method (FEM) and EAs to provide an accurate selection of parameters together with the optimized magnetic flux density and decreased loss. Experimental results show that NSGA-II+FEM model successfully provides a global feasible solution by minimizing total loss and related cost while improving the efficiency of three-phase transformer, rendering it suitable for application in the design environment of industrial transformers." @default.
- W2905067259 created "2018-12-22" @default.
- W2905067259 creator A5082389670 @default.
- W2905067259 creator A5084882318 @default.
- W2905067259 date "2019-09-01" @default.
- W2905067259 modified "2023-10-05" @default.
- W2905067259 title "NSGA-II+FEM Based Loss Optimization of Three-Phase Transformer" @default.
- W2905067259 cites W1562493259 @default.
- W2905067259 cites W1595159159 @default.
- W2905067259 cites W1660734096 @default.
- W2905067259 cites W1966003487 @default.
- W2905067259 cites W1971116987 @default.
- W2905067259 cites W1979182910 @default.
- W2905067259 cites W1992666806 @default.
- W2905067259 cites W2003491345 @default.
- W2905067259 cites W2016758796 @default.
- W2905067259 cites W2020193822 @default.
- W2905067259 cites W2030336736 @default.
- W2905067259 cites W2058215180 @default.
- W2905067259 cites W2089419496 @default.
- W2905067259 cites W2108079877 @default.
- W2905067259 cites W2116661285 @default.
- W2905067259 cites W2120927062 @default.
- W2905067259 cites W2124295755 @default.
- W2905067259 cites W2126105956 @default.
- W2905067259 cites W2131996653 @default.
- W2905067259 cites W2134493171 @default.
- W2905067259 cites W2137340504 @default.
- W2905067259 cites W2143889206 @default.
- W2905067259 cites W2143962750 @default.
- W2905067259 cites W2146534281 @default.
- W2905067259 cites W2150244086 @default.
- W2905067259 cites W2154312387 @default.
- W2905067259 cites W2155353402 @default.
- W2905067259 cites W2163983734 @default.
- W2905067259 cites W2166054052 @default.
- W2905067259 cites W2167159964 @default.
- W2905067259 cites W2245186967 @default.
- W2905067259 cites W2408283333 @default.
- W2905067259 cites W2518642189 @default.
- W2905067259 cites W2560698567 @default.
- W2905067259 doi "https://doi.org/10.1109/tie.2018.2881935" @default.
- W2905067259 hasPublicationYear "2019" @default.
- W2905067259 type Work @default.
- W2905067259 sameAs 2905067259 @default.
- W2905067259 citedByCount "30" @default.
- W2905067259 countsByYear W29050672592019 @default.
- W2905067259 countsByYear W29050672592020 @default.
- W2905067259 countsByYear W29050672592021 @default.
- W2905067259 countsByYear W29050672592022 @default.
- W2905067259 countsByYear W29050672592023 @default.
- W2905067259 crossrefType "journal-article" @default.
- W2905067259 hasAuthorship W2905067259A5082389670 @default.
- W2905067259 hasAuthorship W2905067259A5084882318 @default.
- W2905067259 hasConcept C119599485 @default.
- W2905067259 hasConcept C126255220 @default.
- W2905067259 hasConcept C127413603 @default.
- W2905067259 hasConcept C135628077 @default.
- W2905067259 hasConcept C147764199 @default.
- W2905067259 hasConcept C165801399 @default.
- W2905067259 hasConcept C24326235 @default.
- W2905067259 hasConcept C2524010 @default.
- W2905067259 hasConcept C33923547 @default.
- W2905067259 hasConcept C34800285 @default.
- W2905067259 hasConcept C66322947 @default.
- W2905067259 hasConcept C66938386 @default.
- W2905067259 hasConceptScore W2905067259C119599485 @default.
- W2905067259 hasConceptScore W2905067259C126255220 @default.
- W2905067259 hasConceptScore W2905067259C127413603 @default.
- W2905067259 hasConceptScore W2905067259C135628077 @default.
- W2905067259 hasConceptScore W2905067259C147764199 @default.
- W2905067259 hasConceptScore W2905067259C165801399 @default.
- W2905067259 hasConceptScore W2905067259C24326235 @default.
- W2905067259 hasConceptScore W2905067259C2524010 @default.
- W2905067259 hasConceptScore W2905067259C33923547 @default.
- W2905067259 hasConceptScore W2905067259C34800285 @default.
- W2905067259 hasConceptScore W2905067259C66322947 @default.
- W2905067259 hasConceptScore W2905067259C66938386 @default.
- W2905067259 hasIssue "9" @default.
- W2905067259 hasLocation W29050672591 @default.
- W2905067259 hasOpenAccess W2905067259 @default.
- W2905067259 hasPrimaryLocation W29050672591 @default.
- W2905067259 hasRelatedWork W1510208227 @default.
- W2905067259 hasRelatedWork W2002131572 @default.
- W2905067259 hasRelatedWork W2158209489 @default.
- W2905067259 hasRelatedWork W2355539277 @default.
- W2905067259 hasRelatedWork W2358372351 @default.
- W2905067259 hasRelatedWork W2541272918 @default.
- W2905067259 hasRelatedWork W2747106754 @default.
- W2905067259 hasRelatedWork W3021074684 @default.
- W2905067259 hasRelatedWork W4283813463 @default.
- W2905067259 hasRelatedWork W4366590091 @default.
- W2905067259 hasVolume "66" @default.
- W2905067259 isParatext "false" @default.
- W2905067259 isRetracted "false" @default.
- W2905067259 magId "2905067259" @default.
- W2905067259 workType "article" @default.