{"id":"https://openalex.org/W4389104693","doi":"https://doi.org/10.1109/tim.2023.3334367","title":"Toward Reliable High-Speed Railway Pantograph-Catenary System State Detection: Multitask Deep Neural Networks With Runtime Reliability Monitoring","display_name":"Toward Reliable High-Speed Railway Pantograph-Catenary System State Detection: Multitask Deep Neural Networks With Runtime Reliability Monitoring","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389104693","doi":"https://doi.org/10.1109/tim.2023.3334367"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3334367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3334367","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","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/A5000896452","display_name":"Biyu Li","orcid":"https://orcid.org/0009-0003-3191-3734"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biyu Li","raw_affiliation_strings":["State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0003-3191-3734","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070795080","display_name":"Gaoqiang Kang","orcid":"https://orcid.org/0000-0002-1196-2614"},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoqiang Kang","raw_affiliation_strings":["China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1196-2614","affiliations":[{"raw_affiliation_string":"China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China","institution_ids":["https://openalex.org/I2801441622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017468053","display_name":"Hu Wang","orcid":"https://orcid.org/0000-0002-5974-4499"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Wang","raw_affiliation_strings":["State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5974-4499","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066196645","display_name":"Haitao Liu","orcid":"https://orcid.org/0009-0002-8397-7257"},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Liu","raw_affiliation_strings":["China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-8397-7257","affiliations":[{"raw_affiliation_string":"China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China","institution_ids":["https://openalex.org/I2801441622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019940239","display_name":"Jun Lin","orcid":"https://orcid.org/0000-0003-2760-4333"},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Lin","raw_affiliation_strings":["China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2760-4333","affiliations":[{"raw_affiliation_string":"China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China","institution_ids":["https://openalex.org/I2801441622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102719455","display_name":"Junping Wang","orcid":"https://orcid.org/0009-0005-6813-4499"},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Wang","raw_affiliation_strings":["China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-6813-4499","affiliations":[{"raw_affiliation_string":"China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China","institution_ids":["https://openalex.org/I2801441622"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102730412","display_name":"Yuyi Wang","orcid":"https://orcid.org/0000-0001-7273-9873"},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyi Wang","raw_affiliation_strings":["China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7273-9873","affiliations":[{"raw_affiliation_string":"China Railway Rolling Stock Corporation (CRRC) Zhuzhou Electric Locomotive Institute Company Ltd., Zhuzhou, China","institution_ids":["https://openalex.org/I2801441622"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0483,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.71930949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12371","display_name":"Electrical Contact Performance and Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12371","display_name":"Electrical Contact Performance and Analysis","score":0.9998000264167786,"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/T10842","display_name":"Railway Engineering and Dynamics","score":0.998199999332428,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9962000250816345,"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/catenary","display_name":"Catenary","score":0.8821862936019897},{"id":"https://openalex.org/keywords/pantograph","display_name":"Pantograph","score":0.7577111721038818},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.6355951428413391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6024595499038696},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.56380695104599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47286415100097656},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4456574618816376},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4338378608226776},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42749032378196716},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3921245038509369},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3710246980190277}],"concepts":[{"id":"https://openalex.org/C29279314","wikidata":"https://www.wikidata.org/wiki/Q214561","display_name":"Catenary","level":2,"score":0.8821862936019897},{"id":"https://openalex.org/C20756127","wikidata":"https://www.wikidata.org/wiki/Q722757","display_name":"Pantograph","level":2,"score":0.7577111721038818},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.6355951428413391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6024595499038696},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.56380695104599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47286415100097656},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4456574618816376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4338378608226776},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42749032378196716},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3921245038509369},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3710246980190277},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3334367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3334367","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1008200509","display_name":null,"funder_award_id":"2022YFB4300400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1736427530","display_name":null,"funder_award_id":"2021ZD0109805","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1867413681","display_name":"\u57fa\u4e8e\u573a\u7ea6\u675f\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u65f6\u5e8f\u5b8c\u5907\u8bbe\u8ba1\u7a7a\u95f4\u7cbe\u51c6\u5efa\u6a21\u65b9\u6cd5\u7814\u7a76\u53ca\u5176\u5e94\u7528","funder_award_id":"11972155","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1941659294","https://openalex.org/W2003914692","https://openalex.org/W2008317417","https://openalex.org/W2026131180","https://openalex.org/W2134732652","https://openalex.org/W2555344168","https://openalex.org/W2565639579","https://openalex.org/W2955699123","https://openalex.org/W2963611739","https://openalex.org/W2963857746","https://openalex.org/W2974032590","https://openalex.org/W2974652037","https://openalex.org/W2989902657","https://openalex.org/W2997129641","https://openalex.org/W3034355852","https://openalex.org/W3084136118","https://openalex.org/W3180134609","https://openalex.org/W3200496415","https://openalex.org/W4285112723","https://openalex.org/W4285412055","https://openalex.org/W6728622933","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W2352865025","https://openalex.org/W2939045761","https://openalex.org/W2355211658","https://openalex.org/W2067167195","https://openalex.org/W2057969614","https://openalex.org/W2361809279","https://openalex.org/W2670755988","https://openalex.org/W2387550916","https://openalex.org/W2389297227","https://openalex.org/W2376447156"],"abstract_inverted_index":{"The":[0,231],"pantograph-catenary":[1,149],"system":[2,150],"(PACs)":[3],"is":[4,18,156,175,198],"the":[5,21,33,36,40,44,48,54,85,88,109,116,128,142,164,179,183,187,193,206,210,215,220],"only":[6,159],"channel":[7],"for":[8,100],"high-speed":[9],"trains":[10],"to":[11,20,31,137,177,204],"obtain":[12],"electric":[13],"energy,":[14],"and":[15,43,77,115,122,219],"its":[16],"state":[17,38,72,102,151,217],"crucial":[19],"safety":[22],"of":[23,39,47,56,70,91,111,130,186,209,233,242],"train":[24],"operation.":[25],"There":[26],"are":[27,82,105],"two":[28,106],"key":[29],"indicators":[30],"measure":[32],"PACs":[34,49,71,101,216],"state:":[35],"tension":[37],"catenary":[41],"dropper":[42,113,139],"zig-zag":[45],"value":[46],"contact":[50,124,165,180,188],"point":[51,166,189],"(CPT).":[52],"With":[53],"development":[55],"deep":[57],"learning,":[58],"on-":[59],"board":[60],"vision":[61],"inspection":[62],"equipment":[63],"has":[64,94,236],"gradually":[65],"become":[66,95],"an":[67,96],"effective":[68],"means":[69],"inspection.":[73],"However,":[74],"since":[75],"more":[76,78],"deep-learning":[79],"black":[80],"boxes":[81],"used":[83],"in":[84,118,192,227,239],"railway":[86,244],"industry,":[87],"reliability":[89,208,222],"estimation":[90],"their":[92],"decisions":[93],"unavoidable":[97],"challenge.":[98],"As":[99],"detection,":[103],"there":[104],"other":[107],"challenges:":[108],"lack":[110],"defective":[112,131],"sample":[114,132],"difficulty":[117],"distinguishing":[119],"between":[120],"true":[121],"false":[123],"points.":[125],"To":[126],"overcome":[127],"challenge":[129],"scarcity,":[133],"this":[134,213],"article":[135],"proposes":[136],"detect":[138],"defect":[140],"by":[141,146],"semantic":[143,194],"features":[144],"extracted":[145],"a":[147,168,228],"multitask":[148],"detection":[152,218],"network":[153],"(MPCN),":[154],"which":[155],"trained":[157],"using":[158,182],"normal":[160],"droppers.":[161],"Aiming":[162],"at":[163],"tracking,":[167],"multiple":[169],"hypothesis":[170,202],"tracking":[171],"tree":[172],"(MHTT)":[173],"algorithm":[174],"proposed":[176],"track":[178],"points":[181],"change":[184],"rule":[185],"sequence.":[190],"Meanwhile,":[191],"space,":[195],"domain":[196],"knowledge":[197],"combined":[199],"with":[200],"Bayesian":[201],"testing":[203],"monitor":[205],"runtime":[207],"MPCN.":[211],"In":[212],"way,":[214],"MPCN":[221],"monitoring":[223],"can":[224],"be":[225],"implemented":[226],"unified":[229],"framework.":[230],"effectiveness":[232],"our":[234],"method":[235],"been":[237],"verified":[238],"various":[240,243],"scenarios":[241],"lines.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}