{"id":"https://openalex.org/W4388281441","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295834","title":"A Distributed Training Fault Diagnosis Method for Big Data in Rail Transit System","display_name":"A Distributed Training Fault Diagnosis Method for Big Data in Rail Transit System","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4388281441","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295834"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess58597.2023.10295834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess58597.2023.10295834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-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/A5100918262","display_name":"Qichao He","orcid":null},"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":"Qichao He","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100595590","display_name":"Yifei Cai","orcid":"https://orcid.org/0009-0000-9118-5298"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Cai","raw_affiliation_strings":["China Academy of Railway Sciences Corporation Limited,Locomotive &#x0026; Car Research Institute,Beijing,China,100094"],"affiliations":[{"raw_affiliation_string":"China Academy of Railway Sciences Corporation Limited,Locomotive &#x0026; Car Research Institute,Beijing,China,100094","institution_ids":["https://openalex.org/I4210141966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101749804","display_name":"Tao Wen","orcid":"https://orcid.org/0000-0002-8253-9338"},"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":"Tao Wen","raw_affiliation_strings":["Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Electronic and Information Engineering,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100918262"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.1576,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48618123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9320999979972839,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.6027214527130127},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5957757830619812},{"id":"https://openalex.org/keywords/urban-rail-transit","display_name":"Urban rail transit","score":0.5784953832626343},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.534570038318634},{"id":"https://openalex.org/keywords/rail-transit","display_name":"Rail transit","score":0.5037598013877869},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.48981568217277527},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.46932145953178406},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42594683170318604},{"id":"https://openalex.org/keywords/fault-model","display_name":"Fault model","score":0.41619569063186646},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3910270929336548},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.31163716316223145},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2798083424568176},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.25958251953125},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12346938252449036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6027214527130127},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5957757830619812},{"id":"https://openalex.org/C2780434240","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Urban rail transit","level":2,"score":0.5784953832626343},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.534570038318634},{"id":"https://openalex.org/C2992701429","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Rail transit","level":2,"score":0.5037598013877869},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.48981568217277527},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.46932145953178406},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42594683170318604},{"id":"https://openalex.org/C167391956","wikidata":"https://www.wikidata.org/wiki/Q1401211","display_name":"Fault model","level":3,"score":0.41619569063186646},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3910270929336548},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31163716316223145},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2798083424568176},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.25958251953125},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12346938252449036},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess58597.2023.10295834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess58597.2023.10295834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2530806392","https://openalex.org/W2912475127","https://openalex.org/W2949006961","https://openalex.org/W2971623692","https://openalex.org/W3006403513","https://openalex.org/W3012125688","https://openalex.org/W3135231128","https://openalex.org/W3138513656","https://openalex.org/W3167593903","https://openalex.org/W3170887803","https://openalex.org/W3213560988","https://openalex.org/W3214919557","https://openalex.org/W4210960727","https://openalex.org/W4309468789","https://openalex.org/W4312975111","https://openalex.org/W6848795428"],"related_works":["https://openalex.org/W2011781613","https://openalex.org/W2953473307","https://openalex.org/W1980504576","https://openalex.org/W4388138713","https://openalex.org/W2033691733","https://openalex.org/W2903291457","https://openalex.org/W2004724997","https://openalex.org/W2037782317","https://openalex.org/W2355319735","https://openalex.org/W2365014820"],"abstract_inverted_index":{"After":[0],"decades":[1],"of":[2,13,16,23,33,41,45,63,94,121,137,147,164],"rapid":[3],"development,":[4],"our":[5],"rail":[6,47,74,138],"transit":[7,48,75,139],"system":[8,49],"has":[9,90,158],"entered":[10],"a":[11,30,53,64,91],"period":[12],"frequent":[14],"maintenance":[15],"equipment.":[17],"It":[18],"is":[19,57,78,103],"faced":[20],"with":[21],"challenges":[22],"various":[24],"equipment":[25],"models,":[26],"complex":[27],"working":[28],"conditions,":[29],"huge":[31],"amount":[32],"fault":[34,43,67,76,88,140,148],"data,":[35],"etc.":[36],"To":[37],"meet":[38],"the":[39,46,61,71,84,98,113,118,125,131,135,143,151,154],"requirement":[40],"real-time":[42],"diagnosis":[44,68,89],"to":[50,59,134],"guarantee":[51],"safety,":[52],"distributed":[54,155],"training":[55,62,156,165],"architecture":[56,157],"proposed":[58],"accelerate":[60],"large-scale":[65],"data":[66,77,87,95],"model.":[69],"On":[70,150],"other":[72,152],"hand,":[73,127,153],"highly":[79],"confidential":[80],"and":[81,108,145,167],"private,":[82],"while":[83],"traditional":[85],"centralized":[86],"high":[92],"risk":[93],"leakage.":[96],"Therefore,":[97],"Federated":[99],"Learning":[100],"(FL)":[101],"paradigm":[102,133],"adopted":[104],"in":[105,162],"this":[106,122],"paper":[107],"it":[109],"can":[110],"effectively":[111],"alleviate":[112],"\"data":[114],"island\"":[115],"problem.":[116],"From":[117],"experimental":[119],"results":[120],"paper,":[123],"on":[124],"one":[126],"we":[128],"successfully":[129],"applied":[130],"FL":[132],"field":[136],"diagnosis,":[141],"ensuring":[142],"privacy":[144],"security":[146],"data.":[149],"been":[159],"greatly":[160],"improved":[161],"terms":[163],"speed":[166],"computing":[168],"resource":[169],"utilization.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
