{"id":"https://openalex.org/W3129142911","doi":"https://doi.org/10.1109/access.2021.3057494","title":"A Prediction Model Based on Artificial Neural Network for the Temperature Performance of a Hydrodynamic Retarder in Constant-Torque Braking Process","display_name":"A Prediction Model Based on Artificial Neural Network for the Temperature Performance of a Hydrodynamic Retarder in Constant-Torque Braking Process","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3129142911","doi":"https://doi.org/10.1109/access.2021.3057494","mag":"3129142911"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3057494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3057494","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09348909.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/ielx7/6287639/9312710/09348909.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102903573","display_name":"Wang Zhuo","orcid":"https://orcid.org/0000-0002-6769-2182"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuo Wang","raw_affiliation_strings":["National Key Laboratory of Vehicular Transmission, Beijing Institute of Technology, Beijing, China","School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6769-2182","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Vehicular Transmission, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323648","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0001-6953-1019"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China","National Key Laboratory of Vehicular Transmission, Beijing Institute of Technology, Beijing, China","School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6953-1019","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China","institution_ids":["https://openalex.org/I50632499","https://openalex.org/I125839683"]},{"raw_affiliation_string":"National Key Laboratory of Vehicular Transmission, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017696249","display_name":"Reza Langari","orcid":"https://orcid.org/0000-0001-7900-5186"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Langari","raw_affiliation_strings":["Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-7900-5186","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681544","display_name":"Qingyu Zhang","orcid":"https://orcid.org/0000-0002-6276-3391"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingyu Zhang","raw_affiliation_strings":["Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111638348","display_name":"Qingdong Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingdong Yan","raw_affiliation_strings":["National Key Laboratory of Vehicular Transmission, Beijing Institute of Technology, Beijing, China","School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Vehicular Transmission, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102903573"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4835,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78169732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"24872","last_page":"24883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11201","display_name":"Metallurgy and Material Forming","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11201","display_name":"Metallurgy and Material Forming","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9922000169754028,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9876999855041504,"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/retarder","display_name":"Retarder","score":0.7564269304275513},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.7294062972068787},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.725416362285614},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6937037706375122},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6578078866004944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46733367443084717},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.43135493993759155},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.4183701276779175},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.37249696254730225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3168027997016907},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.2386704385280609},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.22712662816047668},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2034185528755188},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.20172396302223206},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14644867181777954},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.10851216316223145}],"concepts":[{"id":"https://openalex.org/C33107880","wikidata":"https://www.wikidata.org/wiki/Q1779780","display_name":"Retarder","level":2,"score":0.7564269304275513},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.7294062972068787},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.725416362285614},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6937037706375122},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6578078866004944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46733367443084717},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.43135493993759155},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.4183701276779175},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.37249696254730225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3168027997016907},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.2386704385280609},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.22712662816047668},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2034185528755188},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.20172396302223206},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14644867181777954},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.10851216316223145},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3057494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3057494","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09348909.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:d5bf438200ae46b8af3f3362ece9ba14","is_oa":true,"landing_page_url":"https://doaj.org/article/d5bf438200ae46b8af3f3362ece9ba14","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 9, Pp 24872-24883 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3057494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3057494","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09348909.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":[{"display_name":"Affordable and clean energy","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G5788198816","display_name":null,"funder_award_id":"51805027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G971939897","display_name":null,"funder_award_id":"51475041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323110","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3129142911.pdf","grobid_xml":"https://content.openalex.org/works/W3129142911.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W657581350","https://openalex.org/W851963713","https://openalex.org/W1464320028","https://openalex.org/W1524634766","https://openalex.org/W1554663460","https://openalex.org/W1569512666","https://openalex.org/W1622676895","https://openalex.org/W1993929164","https://openalex.org/W1994623961","https://openalex.org/W2033904036","https://openalex.org/W2038128936","https://openalex.org/W2073182190","https://openalex.org/W2098535269","https://openalex.org/W2102148524","https://openalex.org/W2124776405","https://openalex.org/W2138742093","https://openalex.org/W2272708920","https://openalex.org/W2283302391","https://openalex.org/W2283952362","https://openalex.org/W2322749483","https://openalex.org/W2341822376","https://openalex.org/W2416270402","https://openalex.org/W2464322223","https://openalex.org/W2474568127","https://openalex.org/W2514451441","https://openalex.org/W2533992023","https://openalex.org/W2603437993","https://openalex.org/W2604737202","https://openalex.org/W2770076276","https://openalex.org/W2789729222","https://openalex.org/W2805949705","https://openalex.org/W2885083057","https://openalex.org/W2899471696","https://openalex.org/W2901023399","https://openalex.org/W2906244940","https://openalex.org/W2921507457","https://openalex.org/W3012236167","https://openalex.org/W3116923327","https://openalex.org/W4229974064","https://openalex.org/W4231125287","https://openalex.org/W4232670376","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W2375455306","https://openalex.org/W2985587160","https://openalex.org/W2383622810","https://openalex.org/W2383823171","https://openalex.org/W4381800564","https://openalex.org/W3020969764","https://openalex.org/W3043446677","https://openalex.org/W2391905606","https://openalex.org/W2380637684","https://openalex.org/W2383769918"],"abstract_inverted_index":{"Excessively":[0],"high":[1],"brake":[2,10,19,198],"temperature":[3,23,44,57,141,182,187],"of":[4,26,33,37,59,84,122,143,149,188],"hydrodynamic":[5,27,61,145,190],"retarders":[6,28],"may":[7],"lead":[8],"to":[9,54,93,103,118],"fading":[11],"and":[12,110,154,163,193,201],"failure,":[13],"resulting":[14],"in":[15,18,63,172],"a":[16,30,43,60,72],"decrease":[17],"effectiveness.":[20],"However,":[21],"the":[22,34,38,56,78,82,85,95,120,123,129,140,144,150,186,189],"performance":[24,58],"modeling":[25],"is":[29,52,69,91,116,126,135,158],"challenge":[31],"because":[32],"non-linear":[35],"characteristics":[36],"system.":[39],"In":[40],"this":[41],"study,":[42],"model":[45,68,134,142,183],"based":[46],"on":[47],"an":[48],"artificial":[49],"neural":[50,74,86,107,132,152],"network":[51,75,108,133,153],"constructed":[53,130],"predict":[55,185],"retarder":[62,191],"constant-torque":[64,165],"braking":[65,166],"process.":[66],"The":[67,112,168,180],"developed":[70],"from":[71],"back-propagation":[73,131,151],"trained":[76],"with":[77,174],"Levenberg-Marquardt":[79],"algorithm.":[80],"Before":[81],"application":[83],"network,":[87],"computational":[88],"fluid":[89],"dynamics":[90],"used":[92],"obtain":[94],"controllable":[96],"region":[97],"where":[98],"experimental":[99,175],"tests":[100],"were":[101],"performed":[102],"collect":[104],"data":[105,176],"for":[106,160,197],"training":[109],"validation.":[111],"linear":[113],"regression":[114],"method":[115],"adopted":[117],"check":[119],"quality":[121],"training.":[124],"It":[125],"shown":[127],"that":[128],"within":[136,177],"98%":[137],"accuracy.":[138],"Furthermore,":[139],"retarder,":[146],"which":[147],"consists":[148],"thermal":[155,202],"balance":[156],"models,":[157],"simulated":[159],"1500N\u00b7m,":[161],"2000N\u00b7m,":[162],"2500N\u00b7m":[164],"processes.":[167],"simulation":[169],"results":[170],"are":[171],"agreement":[173],"2.87%":[178],"error.":[179],"proposed":[181],"can":[184],"accurately":[192],"provide":[194],"theoretical":[195],"guidance":[196],"control":[199],"strategy":[200],"management.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
