{"id":"https://openalex.org/W4313169467","doi":"https://doi.org/10.1109/access.2022.3229043","title":"Review of Machine Learning Applications to the Modeling and Design Optimization of Switched Reluctance Motors","display_name":"Review of Machine Learning Applications to the Modeling and Design Optimization of Switched Reluctance Motors","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313169467","doi":"https://doi.org/10.1109/access.2022.3229043"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3229043","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3229043","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09985459.pdf","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":null,"license_id":null,"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://ieeexplore.ieee.org/ielx7/6287639/9668973/09985459.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059027048","display_name":"Mohamed Omar","orcid":"https://orcid.org/0000-0002-9823-5224"},"institutions":[{"id":"https://openalex.org/I4210156128","display_name":"Electronics Research Institute","ror":"https://ror.org/0532wcf75","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210094263","https://openalex.org/I4210156128"]},{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA","EG"],"is_corresponding":false,"raw_author_name":"Mohamed Omar","raw_affiliation_strings":["Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada","Department of Power Electronics and Energy Conversion Systems, Electronics Research Institute, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-9823-5224","affiliations":[{"raw_affiliation_string":"Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Department of Power Electronics and Energy Conversion Systems, Electronics Research Institute, Cairo, Egypt","institution_ids":["https://openalex.org/I4210156128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052083548","display_name":"Ehab Sayed","orcid":"https://orcid.org/0000-0002-2363-9654"},"institutions":[{"id":"https://openalex.org/I207547235","display_name":"Benha University","ror":"https://ror.org/03tn5ee41","country_code":"EG","type":"education","lineage":["https://openalex.org/I207547235"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ehab Sayed","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt","institution_ids":["https://openalex.org/I207547235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028525307","display_name":"Mohamed Abdalmagid","orcid":"https://orcid.org/0000-0001-7435-6905"},"institutions":[{"id":"https://openalex.org/I4210156128","display_name":"Electronics Research Institute","ror":"https://ror.org/0532wcf75","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210094263","https://openalex.org/I4210156128"]},{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA","EG"],"is_corresponding":false,"raw_author_name":"Mohamed Abdalmagid","raw_affiliation_strings":["Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada","Department of Power Electronics and Energy Conversion Systems, Electronics Research Institute, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-7435-6905","affiliations":[{"raw_affiliation_string":"Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]},{"raw_affiliation_string":"Department of Power Electronics and Energy Conversion Systems, Electronics Research Institute, Cairo, Egypt","institution_ids":["https://openalex.org/I4210156128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056945837","display_name":"Berker Bilgin","orcid":"https://orcid.org/0000-0001-5103-0072"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Berker Bilgin","raw_affiliation_strings":["Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5103-0072","affiliations":[{"raw_affiliation_string":"Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079289901","display_name":"Mohamed H. Bakr","orcid":"https://orcid.org/0000-0002-3749-2657"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed H. Bakr","raw_affiliation_strings":["Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079326512","display_name":"Ali Emadi","orcid":"https://orcid.org/0000-0002-0676-1455"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Emadi","raw_affiliation_strings":["Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0676-1455","affiliations":[{"raw_affiliation_string":"Department of Electric and Computer Engineering, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4162,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.93206002,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"130444","last_page":"130468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10278","display_name":"Electric Motor Design and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10278","display_name":"Electric Motor Design and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12898","display_name":"Induction Heating and Inverter Technology","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/computer-science","display_name":"Computer science","score":0.7780733108520508},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7569630146026611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6749235987663269},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.60069739818573},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5722305178642273},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.5436926484107971},{"id":"https://openalex.org/keywords/switched-reluctance-motor","display_name":"Switched reluctance motor","score":0.5396812558174133},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.4658437967300415},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.46380236744880676},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.46285831928253174},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.4482441842556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4199882745742798},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4161864221096039},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0941731333732605},{"id":"https://openalex.org/keywords/rotor","display_name":"Rotor (electric)","score":0.07735610008239746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7780733108520508},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7569630146026611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6749235987663269},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.60069739818573},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5722305178642273},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.5436926484107971},{"id":"https://openalex.org/C12090584","wikidata":"https://www.wikidata.org/wiki/Q4107232","display_name":"Switched reluctance motor","level":3,"score":0.5396812558174133},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.4658437967300415},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.46380236744880676},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.46285831928253174},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.4482441842556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4199882745742798},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4161864221096039},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0941731333732605},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.07735610008239746},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3229043","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3229043","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09985459.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c46f9794db7f445a83c8e4f937afd4c1","is_oa":false,"landing_page_url":"https://doaj.org/article/c46f9794db7f445a83c8e4f937afd4c1","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 130444-130468 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3229043","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3229043","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09985459.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313169467.pdf","grobid_xml":"https://content.openalex.org/works/W4313169467.grobid-xml"},"referenced_works_count":122,"referenced_works":["https://openalex.org/W37018364","https://openalex.org/W1122100091","https://openalex.org/W1513526813","https://openalex.org/W1524979733","https://openalex.org/W1596717185","https://openalex.org/W1923968804","https://openalex.org/W1975734802","https://openalex.org/W1977594054","https://openalex.org/W1980432290","https://openalex.org/W1981814398","https://openalex.org/W1982878030","https://openalex.org/W1984295386","https://openalex.org/W1991660525","https://openalex.org/W2005846790","https://openalex.org/W2010259676","https://openalex.org/W2016881359","https://openalex.org/W2018317891","https://openalex.org/W2027761437","https://openalex.org/W2035594939","https://openalex.org/W2040040451","https://openalex.org/W2040070293","https://openalex.org/W2040647861","https://openalex.org/W2041366980","https://openalex.org/W2045794157","https://openalex.org/W2053443947","https://openalex.org/W2054137409","https://openalex.org/W2057671706","https://openalex.org/W2061438946","https://openalex.org/W2061521045","https://openalex.org/W2066436074","https://openalex.org/W2067563600","https://openalex.org/W2071356438","https://openalex.org/W2072194640","https://openalex.org/W2074012362","https://openalex.org/W2080459620","https://openalex.org/W2089159597","https://openalex.org/W2095343772","https://openalex.org/W2096189523","https://openalex.org/W2098513893","https://openalex.org/W2101022332","https://openalex.org/W2101959319","https://openalex.org/W2106323150","https://openalex.org/W2111072639","https://openalex.org/W2114652055","https://openalex.org/W2126603580","https://openalex.org/W2130413175","https://openalex.org/W2139238144","https://openalex.org/W2142053104","https://openalex.org/W2142843475","https://openalex.org/W2143035907","https://openalex.org/W2146171382","https://openalex.org/W2149369213","https://openalex.org/W2149723649","https://openalex.org/W2150735006","https://openalex.org/W2152048394","https://openalex.org/W2152222754","https://openalex.org/W2152339646","https://openalex.org/W2154654225","https://openalex.org/W2155448681","https://openalex.org/W2155752967","https://openalex.org/W2158220540","https://openalex.org/W2158702718","https://openalex.org/W2159186265","https://openalex.org/W2165120372","https://openalex.org/W2233629590","https://openalex.org/W2279039134","https://openalex.org/W2282073114","https://openalex.org/W2287252250","https://openalex.org/W2327588262","https://openalex.org/W2343689273","https://openalex.org/W2343937981","https://openalex.org/W2376379430","https://openalex.org/W2377613567","https://openalex.org/W2430166675","https://openalex.org/W2490662969","https://openalex.org/W2533256569","https://openalex.org/W2547935066","https://openalex.org/W2587693299","https://openalex.org/W2728100481","https://openalex.org/W2762435851","https://openalex.org/W2800314412","https://openalex.org/W2804947873","https://openalex.org/W2885616104","https://openalex.org/W2886676275","https://openalex.org/W2890781737","https://openalex.org/W2893444979","https://openalex.org/W2895151730","https://openalex.org/W2910581806","https://openalex.org/W2910699681","https://openalex.org/W2911713263","https://openalex.org/W2922306207","https://openalex.org/W2922327436","https://openalex.org/W2927592310","https://openalex.org/W2936887838","https://openalex.org/W2955662921","https://openalex.org/W2964120946","https://openalex.org/W2966449184","https://openalex.org/W2981508472","https://openalex.org/W2999000694","https://openalex.org/W3000556334","https://openalex.org/W3009422846","https://openalex.org/W3010779281","https://openalex.org/W3025972542","https://openalex.org/W3039130505","https://openalex.org/W3041959650","https://openalex.org/W3049283856","https://openalex.org/W3095883371","https://openalex.org/W3102603179","https://openalex.org/W3111814331","https://openalex.org/W3125332101","https://openalex.org/W3130490277","https://openalex.org/W3159649695","https://openalex.org/W3172732923","https://openalex.org/W3211868160","https://openalex.org/W4206162090","https://openalex.org/W4212771256","https://openalex.org/W4214631863","https://openalex.org/W4214717370","https://openalex.org/W4239510810","https://openalex.org/W4240991434","https://openalex.org/W4284895873","https://openalex.org/W6689544130"],"related_works":["https://openalex.org/W1986633584","https://openalex.org/W2197173055","https://openalex.org/W4321844043","https://openalex.org/W4386979406","https://openalex.org/W2963749556","https://openalex.org/W2169608449","https://openalex.org/W3033485676","https://openalex.org/W2375846648","https://openalex.org/W3206510510","https://openalex.org/W4362673197"],"abstract_inverted_index":{"This":[0,93],"work":[1,75,94],"presents":[2],"a":[3,151],"comprehensive":[4],"review":[5],"of":[6,21,100,136,154],"the":[7,16,40,43,61,77,101,127,155],"developments":[8],"in":[9,35,65,73,134],"using":[10],"Machine":[11,28],"Learning":[12],"(ML)-based":[13],"algorithms":[14,57,64,71,131,157],"for":[15,158],"modeling":[17,36,160],"and":[18,31,46,90,111,121,142,144,147,161],"design":[19],"optimization":[20],"switched":[22],"reluctance":[23],"motors":[24],"(SRMs).":[25],"We":[26,38],"reviewed":[27],"Learning-based":[29],"numerical":[30],"analytical":[32],"approaches":[33],"used":[34,63],"SRMs.":[37],"showed":[39],"difference":[41],"between":[42,126],"supervised,":[44],"unsupervised":[45],"reinforcement":[47],"learning":[48,56,70,88,104],"algorithms.":[49],"More":[50],"focus":[51],"is":[52],"placed":[53],"on":[54],"supervised":[55,69],"as":[58,107],"they":[59],"are":[60,132],"most":[62],"this":[66,74],"area.":[67],"The":[68],"studied":[72],"include":[76],"feedforward":[78],"neural":[79,82],"networks,":[80,83],"recurrent":[81],"support":[84],"vector":[85],"machines,":[86,89],"extreme":[87],"Bayesian":[91],"networks.":[92],"also":[95,115],"discusses":[96],"several":[97],"essential":[98],"aspects":[99],"considered":[102,129],"machine":[103],"algorithms,":[105],"such":[106],"core":[108],"concept,":[109],"structure,":[110],"computational":[112],"time.":[113],"It":[114],"surveys":[116],"sample":[117],"data":[118,122],"acquisition":[119],"methods":[120],"size.":[123],"Finally,":[124],"comparisons":[125],"different":[128],"ML-based":[130,156],"conducted":[133],"terms":[135],"electric":[137],"motor":[138],"type,":[139],"dataset":[140],"inputs":[141],"outputs,":[143],"algorithm\u2019s":[145],"structure":[146],"accuracy":[148],"to":[149],"provide":[150],"summary":[152],"overview":[153],"SRMs":[159],"design.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}