{"id":"https://openalex.org/W4221121720","doi":"https://doi.org/10.1109/tits.2022.3156281","title":"AttGGCN Model: A Novel Multi-Sensor Fault Diagnosis Method for High-Speed Train Bogie","display_name":"AttGGCN Model: A Novel Multi-Sensor Fault Diagnosis Method for High-Speed Train Bogie","publication_year":2022,"publication_date":"2022-03-22","ids":{"openalex":"https://openalex.org/W4221121720","doi":"https://doi.org/10.1109/tits.2022.3156281"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3156281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3156281","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/A5088502873","display_name":"Jie Man","orcid":"https://orcid.org/0000-0001-5259-7855"},"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":true,"raw_author_name":"Jie Man","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"],"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/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"],"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"],"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/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"],"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088502873"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":6.7927,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97676882,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"10","first_page":"19511","last_page":"19522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9923999905586243,"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":0.9923999905586243,"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"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9386000037193298,"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/bogie","display_name":"Bogie","score":0.9783449172973633},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5828506946563721},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5627195835113525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5382599234580994},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4496774673461914},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4347985088825226},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4243439733982086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36865824460983276},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35912662744522095},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34702068567276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32389575242996216},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.2460136115550995},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.07430711388587952}],"concepts":[{"id":"https://openalex.org/C123045823","wikidata":"https://www.wikidata.org/wiki/Q217421","display_name":"Bogie","level":2,"score":0.9783449172973633},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5828506946563721},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5627195835113525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5382599234580994},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4496774673461914},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4347985088825226},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4243439733982086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36865824460983276},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35912662744522095},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34702068567276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32389575242996216},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.2460136115550995},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.07430711388587952},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3156281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3156281","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1255669799","https://openalex.org/W1662382123","https://openalex.org/W1989692373","https://openalex.org/W1993785147","https://openalex.org/W2062102466","https://openalex.org/W2065494753","https://openalex.org/W2073452970","https://openalex.org/W2084794478","https://openalex.org/W2187089797","https://openalex.org/W2301275190","https://openalex.org/W2369639633","https://openalex.org/W2558017956","https://openalex.org/W2883126758","https://openalex.org/W2912636151","https://openalex.org/W2945498092","https://openalex.org/W2955112213","https://openalex.org/W2964540888","https://openalex.org/W2977768120","https://openalex.org/W3005486352","https://openalex.org/W3005858530","https://openalex.org/W3025333407","https://openalex.org/W3041898363","https://openalex.org/W3085147781","https://openalex.org/W3096532121","https://openalex.org/W3120487494","https://openalex.org/W3164884129","https://openalex.org/W3173686483","https://openalex.org/W3194937808","https://openalex.org/W6637178625"],"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/W4249854371","https://openalex.org/W1996690921"],"abstract_inverted_index":{"The":[0],"bogie":[1,23,43,60,69,95],"system":[2,6],"is":[3,12,98,183],"a":[4,8,67],"critical":[5],"for":[7,58,118,139],"high-speed":[9,30],"train,":[10],"which":[11],"composed":[13],"of":[14,21,29,123,129,161],"various":[15],"mechanical":[16],"parts.":[17],"Therefore,":[18],"the":[19,22,27,42,49,59,74,94,114,144,148,166,180,187],"health":[20,28,61],"can":[24,44,54],"directly":[25],"affect":[26],"train.":[31],"Temperature":[32],"signals,":[33],"speed":[34],"signals":[35,38,125],"and":[36,86,103,108,126],"pressure":[37],"are":[39,106,116,137],"collected":[40],"from":[41,131],"reflect":[45],"its":[46],"health.":[47],"Hence,":[48],"multi-sensor":[50],"fault":[51,70,91,119],"diagnosis":[52,71,92],"methods":[53],"provide":[55],"novel":[56,68],"solutions":[57],"monitoring":[62],"tool.":[63],"This":[64],"paper":[65],"presents":[66],"scheme":[72],"named":[73],"AttGGCN":[75,145,167],"model,":[76],"using":[77,110],"graph":[78],"convolutional":[79],"network":[80,97],"(GCN),":[81],"gated":[82],"recurrent":[83],"unit":[84],"(GRU)":[85],"attention":[87,181],"mechanism.":[88],"In":[89,155],"this":[90],"scheme,":[93],"data":[96],"established":[99],"firstly.":[100],"Then,":[101],"temporal":[102],"spatial":[104],"features":[105],"extracted":[107],"fused":[109],"GCG":[111],"unit.":[112],"Finally,":[113],"GCN":[115],"used":[117],"identification.":[120],"Twenty-four":[121],"kinds":[122],"measured":[124],"seven":[127],"types":[128],"faults":[130],"actual":[132],"High-speed":[133],"train":[134],"in":[135,172],"operation":[136],"utilized":[138],"verification.":[140],"Results":[141],"show":[142],"that":[143,165,179],"model":[146,168],"has":[147,169],"highest":[149],"accuracy":[150],"compared":[151],"to":[152,185],"conventional":[153],"models.":[154],"addition,":[156],"experiments":[157,177],"on":[158],"different":[159],"scales":[160],"training":[162],"sets":[163],"suggest":[164],"strong":[170],"robustness":[171],"small-scale":[173],"datasets.":[174],"Besides,":[175],"ablation":[176],"certificate":[178],"mechanism":[182],"able":[184],"strengthen":[186],"feature":[188],"extraction":[189],"ability.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}
