{"id":"https://openalex.org/W4323519303","doi":"https://doi.org/10.1109/tits.2023.3251341","title":"An Adaptive Multisensor Fault Diagnosis Method for High-Speed Train Bogie","display_name":"An Adaptive Multisensor Fault Diagnosis Method for High-Speed Train Bogie","publication_year":2023,"publication_date":"2023-03-07","ids":{"openalex":"https://openalex.org/W4323519303","doi":"https://doi.org/10.1109/tits.2023.3251341"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3251341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3251341","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5108863795","display_name":"Jie Man","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Man","raw_affiliation_strings":["Intelligent Transport Systems Research Centre (ITSC) and the National Engineering Research Center of Water Transport Safety (WTSC), Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Transport Systems Research Centre (ITSC) and the National Engineering Research Center of Water Transport Safety (WTSC), Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389344","display_name":"Honghui Dong","orcid":"https://orcid.org/0000-0001-6483-1426"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Dong","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety and the Beijing Research Center of Urban Traffic Information Sensing and Service Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6483-1426","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety and the Beijing Research Center of Urban Traffic Information Sensing and Service Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680032","display_name":"Limin Jia","orcid":"https://orcid.org/0000-0003-2161-4637"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Jia","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety and the Beijing Research Center of Urban Traffic Information Sensing and Service Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2161-4637","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety and the Beijing Research Center of Urban Traffic Information Sensing and Service Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088716214","display_name":"Yong Qin","orcid":"https://orcid.org/0000-0002-6519-8316"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Qin","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety and the Beijing Research Center of Urban Traffic Information Sensing and Service Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6519-8316","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety and the Beijing Research Center of Urban Traffic Information Sensing and Service Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020220195","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-3232-5195"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Planetary Science Institute, China University of Geosciences (Wuhan), Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Planetary Science Institute, China University of Geosciences (Wuhan), Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7248,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.96684489,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":"6","first_page":"6292","last_page":"6306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9869999885559082,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9869999885559082,"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/bogie","display_name":"Bogie","score":0.9794511795043945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6212102174758911},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.6078945994377136},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5052149891853333},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49383530020713806},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.47267159819602966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3824126124382019},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3689648509025574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35929104685783386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35472357273101807},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25914710760116577}],"concepts":[{"id":"https://openalex.org/C123045823","wikidata":"https://www.wikidata.org/wiki/Q217421","display_name":"Bogie","level":2,"score":0.9794511795043945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6212102174758911},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.6078945994377136},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5052149891853333},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49383530020713806},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.47267159819602966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3824126124382019},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3689648509025574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35929104685783386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35472357273101807},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25914710760116577},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3251341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3251341","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3362017729","display_name":null,"funder_award_id":"2016YFB1200100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6024490782","display_name":null,"funder_award_id":"61973027","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":44,"referenced_works":["https://openalex.org/W1255669799","https://openalex.org/W2073452970","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2324044936","https://openalex.org/W2519191234","https://openalex.org/W2558017956","https://openalex.org/W2759436247","https://openalex.org/W2896784509","https://openalex.org/W2897201854","https://openalex.org/W2904378338","https://openalex.org/W2916091221","https://openalex.org/W2933532955","https://openalex.org/W2955112213","https://openalex.org/W3014615236","https://openalex.org/W3015705383","https://openalex.org/W3110510730","https://openalex.org/W3120487494","https://openalex.org/W3126242280","https://openalex.org/W3129796452","https://openalex.org/W3133708784","https://openalex.org/W3158768656","https://openalex.org/W3164543983","https://openalex.org/W3164884129","https://openalex.org/W3166904326","https://openalex.org/W3171211495","https://openalex.org/W3173857597","https://openalex.org/W3182284690","https://openalex.org/W3194185277","https://openalex.org/W3194937808","https://openalex.org/W3197120949","https://openalex.org/W3204767606","https://openalex.org/W3205301901","https://openalex.org/W4200547016","https://openalex.org/W4205608352","https://openalex.org/W4206926570","https://openalex.org/W4206982817","https://openalex.org/W4226303437","https://openalex.org/W4238404964","https://openalex.org/W4285289239","https://openalex.org/W4292266292","https://openalex.org/W4297733535","https://openalex.org/W4313171722","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W4213040196","https://openalex.org/W2351761736","https://openalex.org/W3151688715","https://openalex.org/W2347531652","https://openalex.org/W2391741282","https://openalex.org/W2246097894","https://openalex.org/W2350910195","https://openalex.org/W2494742069","https://openalex.org/W565372017","https://openalex.org/W1996690921"],"abstract_inverted_index":{"High-speed":[0],"train":[1,22,96],"bogies":[2,24],"are":[3,25,38,201],"the":[4,13,50,63,77,92,103,109,112,116,137,146,153,176,189],"critical":[5],"components":[6],"of":[7,15,52,95,111,139,178],"high-speed":[8,140],"trains,":[9,141],"which":[10],"can":[11],"play":[12],"role":[14],"traction,":[16],"braking,":[17],"and":[18,29,70,114,125,157,169,173,181],"buffering.":[19],"In":[20,187],"long-term":[21],"service,":[23],"prone":[26],"to":[27,47,107,128,194],"wear":[28],"aging.":[30],"Currently,":[31],"most":[32],"studies":[33],"on":[34,62,91],"fault":[35,78,87,185],"diagnosis":[36,79,88,163],"methods":[37],"aimed":[39],"at":[40],"single":[41],"equipment":[42],"identification.":[43],"It":[44],"is":[45,192],"challenging":[46],"accurately":[48],"diagnose":[49],"faults":[51],"such":[53],"coupled":[54],"multi-equipment":[55],"combination":[56],"systems":[57],"as":[58],"bogies.":[59],"Multiple":[60],"devices":[61],"bogie":[64,86,130],"have":[65,195],"implied":[66],"correlations":[67],"in":[68,184],"space,":[69],"fully":[71],"exploiting":[72],"their":[73],"spatial":[74,122],"features":[75],"enhances":[76],"accuracy.":[80],"This":[81],"paper":[82],"proposes":[83],"a":[84],"new":[85],"method":[89],"based":[90],"directional":[93],"graph":[94,159],"bogie:":[97],"RS-GAT":[98,172,190],"model.":[99],"The":[100],"model":[101,113,156,183,191],"uses":[102],"Residual-Squeeze":[104],"Network":[105,119],"(RS-Net)":[106],"construct":[108],"framework":[110,180],"use":[115],"Graph":[117],"Attention":[118],"(GAT)":[120],"for":[121],"information":[123],"fusion":[124],"feature":[126],"extraction":[127],"identify":[129],"faults.":[131],"Using":[132],"six":[133],"datasets":[134],"collected":[135],"under":[136],"operation":[138],"experimental":[142],"results":[143],"demonstrate":[144],"that":[145],"proposed":[147],"approach":[148],"has":[149],"better":[150],"effectiveness":[151,177],"than":[152],"RS-Net":[154,179],"class":[155,160],"single-layer":[158],"model,":[161],"with":[162],"accuracy":[164],"near":[165],"96%.":[166],"Ablation":[167],"experiments":[168],"comparisons":[170],"between":[171],"RS-GCN":[174],"verify":[175],"GAT":[182],"classification.":[186],"addition,":[188],"found":[193],"strong":[196],"robustness":[197],"when":[198],"different":[199],"models":[200],"analyzed":[202],"using":[203],"small-scale":[204],"data":[205],"sets.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}