{"id":"https://openalex.org/W7129017244","doi":"https://doi.org/10.3103/s014641162570124x","title":"Temperature Prediction Model of High-Speed Train Traction Motor Based on SE-BILSTM-CNN","display_name":"Temperature Prediction Model of High-Speed Train Traction Motor Based on SE-BILSTM-CNN","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7129017244","doi":"https://doi.org/10.3103/s014641162570124x"},"language":"en","primary_location":{"id":"doi:10.3103/s014641162570124x","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s014641162570124x","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126036916","display_name":"Yunming Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunming Wang","raw_affiliation_strings":["School of Electrical Engineering, Dalian Jiaotong University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Dalian Jiaotong University, Dalian, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023981234","display_name":"Jiacai Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacai Gao","raw_affiliation_strings":["School of Electrical Engineering, Dalian Jiaotong University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Dalian Jiaotong University, Dalian, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063853091","display_name":"Xianwu Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianwu Chu","raw_affiliation_strings":["School of Electrical Engineering, Dalian Jiaotong University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Dalian Jiaotong University, Dalian, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126034619","display_name":"Xinping Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinping Wang","raw_affiliation_strings":["School of Electrical Engineering, Dalian Jiaotong University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Dalian Jiaotong University, Dalian, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126157134","display_name":"Jinbo Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinbo Tang","raw_affiliation_strings":["School of Electrical Engineering, Dalian Jiaotong University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Dalian Jiaotong University, Dalian, China","institution_ids":["https://openalex.org/I7350606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063853091","https://openalex.org/A5126036916"],"corresponding_institution_ids":["https://openalex.org/I7350606"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75951358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"6","first_page":"697","last_page":"707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.6897000074386597,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.6897000074386597,"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"}},{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.125,"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/T12804","display_name":"Thermal Analysis in Power Transmission","score":0.021400000900030136,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/traction-motor","display_name":"Traction motor","score":0.741100013256073},{"id":"https://openalex.org/keywords/traction","display_name":"Traction (geology)","score":0.640999972820282},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5407999753952026},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.531000018119812},{"id":"https://openalex.org/keywords/temperature-measurement","display_name":"Temperature measurement","score":0.39149999618530273},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.3215999901294708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260999917984009},{"id":"https://openalex.org/C136269787","wikidata":"https://www.wikidata.org/wiki/Q1392476","display_name":"Traction motor","level":2,"score":0.741100013256073},{"id":"https://openalex.org/C38834483","wikidata":"https://www.wikidata.org/wiki/Q17000223","display_name":"Traction (geology)","level":2,"score":0.640999972820282},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5407999753952026},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.531000018119812},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4803999960422516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39750000834465027},{"id":"https://openalex.org/C72293138","wikidata":"https://www.wikidata.org/wiki/Q909741","display_name":"Temperature measurement","level":2,"score":0.39149999618530273},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3052999973297119},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.299699991941452},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.2870999872684479},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2750000059604645},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s014641162570124x","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s014641162570124x","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W3046457451","https://openalex.org/W3157663382","https://openalex.org/W3158312943","https://openalex.org/W3158528900","https://openalex.org/W3162586076","https://openalex.org/W3173686483","https://openalex.org/W4210922522","https://openalex.org/W4213159173","https://openalex.org/W4223631853","https://openalex.org/W4223961339","https://openalex.org/W4225423328","https://openalex.org/W4229007983","https://openalex.org/W4280553531","https://openalex.org/W4292973988","https://openalex.org/W4293522016","https://openalex.org/W4293833044","https://openalex.org/W4299799086","https://openalex.org/W4376456728","https://openalex.org/W4382940835","https://openalex.org/W4386918906","https://openalex.org/W4392202156","https://openalex.org/W4396640835","https://openalex.org/W4399399531"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,35,47,81,84,92,134],"widespread":[2],"operation":[3,49],"of":[4,38,42,50,128,137],"high-speed":[5],"trains,":[6],"traction":[7,39],"motors":[8,40],"are":[9,74],"susceptible":[10],"to":[11,22,30,76],"failures":[12],"under":[13],"high-temperature":[14],"conditions":[15],"and":[16,123,131,140],"complex":[17],"working":[18],"scenarios.":[19],"This":[20,52],"leads":[21],"abnormal":[23],"temperature":[24,36,56,101],"increases,":[25],"which":[26],"pose":[27],"significant":[28],"threats":[29],"train":[31],"safety.":[32],"Therefore,":[33],"researching":[34],"prediction":[37,57,110],"is":[41,89,98],"great":[43],"significance":[44],"for":[45,100],"ensuring":[46],"safe":[48],"trains.":[51],"paper":[53],"proposes":[54],"a":[55],"method":[58],"based":[59],"on":[60],"an":[61],"improved":[62],"bidirectional":[63],"long":[64],"short-term":[65],"memory":[66],"(Bi-LSTM)":[67],"network.":[68],"Initially,":[69],"convolutional":[70],"neural":[71,115],"networks":[72,116],"(CNN)":[73],"employed":[75],"extract":[77],"temporal":[78],"structures":[79],"from":[80],"data.":[82],"Simultaneously,":[83],"squeeze-and-excitation":[85],"(SE)":[86],"attention":[87],"mechanism":[88],"integrated":[90],"with":[91,113,126],"key-query-value":[93],"(KQV)":[94],"mechanism.":[95],"Finally,":[96],"Bi-LSTM":[97,124],"utilized":[99],"prediction.":[102],"The":[103],"proposed":[104],"SE-BiLSTM-CNN":[105],"model":[106],"exhibits":[107],"significantly":[108],"enhanced":[109],"performance":[111],"compared":[112],"recurrent":[114,119],"(RNN),":[117],"gated":[118],"units":[120],"(GRU),":[121],"LSTM,":[122],"models,":[125],"improvements":[127],"35.51,":[129],"56.07,":[130],"33.75%":[132],"in":[133],"evaluation":[135],"metrics":[136],"MAE,":[138],"MSE,":[139],"RMSE,":[141],"respectively.":[142]},"counts_by_year":[],"updated_date":"2026-02-18T06:20:13.636215","created_date":"2026-02-17T00:00:00"}