{"id":"https://openalex.org/W4414603097","doi":"https://doi.org/10.1109/access.2025.3615729","title":"Machine Learning-Driven Framework for Optimal Split Ratio Determination in PMSM Design","display_name":"Machine Learning-Driven Framework for Optimal Split Ratio Determination in PMSM Design","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414603097","doi":"https://doi.org/10.1109/access.2025.3615729"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3615729","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3615729","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3615729","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100762869","display_name":"Ju Hyung Lee","orcid":"https://orcid.org/0000-0003-2487-4098"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ju Hyung Lee","raw_affiliation_strings":["Department of Electrical Engineering, Soongsil University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Soongsil University, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114120462","display_name":"Dong Hoo Min","orcid":"https://orcid.org/0009-0007-4973-6552"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Hoo Min","raw_affiliation_strings":["Department of Electrical Engineering, Soongsil University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0009-0007-4973-6552","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Soongsil University, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027614613","display_name":"Ji Hoon Park","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji Hoon Park","raw_affiliation_strings":["Department of Electrical Engineering, Soongsil University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0009-0001-4319-6731","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Soongsil University, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022931055","display_name":"Seun Guy Min","orcid":"https://orcid.org/0000-0002-8977-7152"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seun Guy Min","raw_affiliation_strings":["Department of Electrical Engineering, Soongsil University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8977-7152","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Soongsil University, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141371507"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8541,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79722916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"170601","last_page":"170618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6675999760627747},{"id":"https://openalex.org/keywords/stator","display_name":"Stator","score":0.6496999859809875},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5719000101089478},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.541700005531311},{"id":"https://openalex.org/keywords/rotor","display_name":"Rotor (electric)","score":0.48809999227523804},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.462799996137619},{"id":"https://openalex.org/keywords/optimal-design","display_name":"Optimal design","score":0.4381999969482422},{"id":"https://openalex.org/keywords/machine-design","display_name":"Machine design","score":0.4189000129699707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681000232696533},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6675999760627747},{"id":"https://openalex.org/C2776529397","wikidata":"https://www.wikidata.org/wiki/Q190312","display_name":"Stator","level":2,"score":0.6496999859809875},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5719000101089478},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.541700005531311},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.48809999227523804},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.462799996137619},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.4381999969482422},{"id":"https://openalex.org/C2984967376","wikidata":"https://www.wikidata.org/wiki/Q6723638","display_name":"Machine design","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.39820000529289246},{"id":"https://openalex.org/C2986944758","wikidata":"https://www.wikidata.org/wiki/Q845675","display_name":"Permanent magnet synchronous motor","level":3,"score":0.3684000074863434},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33889999985694885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32820001244544983},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C71376005","wikidata":"https://www.wikidata.org/wiki/Q845675","display_name":"Synchronous motor","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C80962145","wikidata":"https://www.wikidata.org/wiki/Q207450","display_name":"Induction motor","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3615729","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3615729","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:563c71cb73fc4cd9a737590603e0f036","is_oa":true,"landing_page_url":"https://doaj.org/article/563c71cb73fc4cd9a737590603e0f036","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 170601-170618 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3615729","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3615729","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8084677625","display_name":null,"funder_award_id":"RS-2024-00398166","funder_id":"https://openalex.org/F4320335199","funder_display_name":"Korea Institute of Energy Technology Evaluation and Planning"}],"funders":[{"id":"https://openalex.org/F4320335199","display_name":"Korea Institute of Energy Technology Evaluation and Planning","ror":"https://ror.org/02zq38y32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,93,136],"split":[1,36,62,110],"ratio,":[2],"which":[3],"is":[4,76],"the":[5,19,35,57,61,108,141],"ratio":[6,37,63,111],"of":[7,21,107,140],"rotor":[8],"diameter":[9],"to":[10,33,55,130],"stator":[11],"diameter,":[12],"plays":[13],"a":[14,29,39,46,72,125],"pivotal":[15],"role":[16],"in":[17],"determining":[18],"performance":[20],"permanent":[22],"magnet":[23],"(PM)":[24],"motors.":[25],"This":[26],"study":[27],"presents":[28],"machine":[30],"learning-driven":[31],"framework":[32,95],"optimize":[34],"from":[38],"cost-efficiency":[40],"perspective.":[41],"Extensive":[42],"datasets":[43],"generated":[44],"through":[45,147],"meta-heuristic":[47],"optimization":[48,134],"algorithm":[49],"are":[50,144],"analyzed":[51],"using":[52],"regression":[53],"techniques":[54],"clarify":[56],"intricate":[58],"relationships":[59],"between":[60],"and":[64,84,104,121,138,152],"key":[65],"motor":[66,132],"design":[67,91,133],"variables.":[68],"From":[69],"this":[70],"analysis,":[71],"novel":[73],"logarithmic":[74],"formula":[75],"derived,":[77],"capturing":[78],"these":[79],"interdependencies":[80],"with":[81],"remarkable":[82],"precision":[83],"offering":[85],"predictive":[86],"robustness":[87],"across":[88,112],"previously":[89],"unseen":[90],"scenarios.":[92],"proposed":[94,142],"provides":[96],"two":[97],"major":[98,113],"advancements:":[99],"(1)":[100],"it":[101,123],"enables":[102],"rapid":[103],"accurate":[105],"computation":[106],"optimal":[109],"six":[114],"pole/slot":[115],"families":[116],"without":[117],"extensive":[118],"iterative":[119],"simulations,":[120],"(2)":[122],"establishes":[124],"scalable,":[126],"data-driven":[127],"methodology":[128],"applicable":[129],"broader":[131],"tasks.":[135],"validity":[137],"effectiveness":[139],"approach":[143],"rigorously":[145],"verified":[146],"finite":[148],"element":[149],"analysis":[150],"(FEA)":[151],"experimental":[153],"validation.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}