{"id":"https://openalex.org/W4406266945","doi":"https://doi.org/10.1109/icnsc62968.2024.10759984","title":"FPRAN: A Hierarchical Generative Model for Few-Shot Pantograph Fault Diagnosis","display_name":"FPRAN: A Hierarchical Generative Model for Few-Shot Pantograph Fault Diagnosis","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4406266945","doi":"https://doi.org/10.1109/icnsc62968.2024.10759984"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc62968.2024.10759984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc62968.2024.10759984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101995666","display_name":"Qihui Xu","orcid":"https://orcid.org/0000-0002-5892-6442"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihui Xu","raw_affiliation_strings":["Tongji University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860586","display_name":"Jiacheng Tang","orcid":"https://orcid.org/0000-0003-2103-6953"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Tang","raw_affiliation_strings":["Tongji University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077526105","display_name":"Qi Kang","orcid":"https://orcid.org/0000-0003-0498-6869"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Kang","raw_affiliation_strings":["Tongji University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010715167","display_name":"Qinhao Wu","orcid":"https://orcid.org/0000-0003-3039-1455"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Qinhao WU","raw_affiliation_strings":["Netherlands Eindhoven University of Technology,Shanghai,China,201804"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Netherlands Eindhoven University of Technology,Shanghai,China,201804","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070649552","display_name":"Shuaiyu Yao","orcid":"https://orcid.org/0000-0002-9360-6882"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaiyu Yao","raw_affiliation_strings":["Tongji University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T12371","display_name":"Electrical Contact Performance and Analysis","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"}},"topics":[{"id":"https://openalex.org/T12371","display_name":"Electrical Contact Performance and Analysis","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":0.9610000252723694,"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"}},{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9307000041007996,"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/pantograph","display_name":"Pantograph","score":0.7530341148376465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.678602397441864},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6479174494743347},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5866384506225586},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5630244016647339},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5102052688598633},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5066846013069153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4774749279022217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3220246136188507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13835009932518005},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12336090207099915},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.1183030903339386},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0478358268737793},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.04239952564239502}],"concepts":[{"id":"https://openalex.org/C20756127","wikidata":"https://www.wikidata.org/wiki/Q722757","display_name":"Pantograph","level":2,"score":0.7530341148376465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678602397441864},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6479174494743347},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5866384506225586},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5630244016647339},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5102052688598633},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5066846013069153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4774749279022217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3220246136188507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13835009932518005},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12336090207099915},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.1183030903339386},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0478358268737793},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.04239952564239502},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc62968.2024.10759984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc62968.2024.10759984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4365211920","https://openalex.org/W4292659306","https://openalex.org/W3014948380","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W4391584540","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352"],"abstract_inverted_index":{"Pantograph":[0],"is":[1,14,76,89,99],"the":[2,17,36,93,97,119,125],"crucial":[3],"component":[4],"of":[5,38,51,127],"rail":[6],"transit":[7],"vehicles.":[8],"Detecting":[9],"and":[10],"resolving":[11],"faults":[12,33],"swiftly":[13],"important":[15],"in":[16,28],"pantograph.":[18,52],"Existing":[19],"fault":[20,49,129],"diagnosis":[21,50],"technologies":[22],"with":[23,30,61,115],"artificial":[24],"intelligence":[25],"have":[26],"difficulties":[27],"dealing":[29],"some":[31],"rare":[32],"due":[34],"to":[35,64,81,91,102,111],"scarcity":[37],"training":[39],"samples.":[40,70,85],"This":[41,106],"paper":[42,107],"proposes":[43],"a":[44,57],"new":[45],"algorithm":[46,121],"for":[47],"few-shot":[48,69],"The":[53],"proposed":[54,120],"method":[55],"constructs":[56],"reconstructive":[58],"adversarial":[59,79],"network":[60],"hierarchical":[62,72],"structure":[63],"mine":[65],"multi-scale":[66],"feature":[67],"from":[68],"A":[71],"data":[73],"generation":[74],"module":[75],"designed":[77],"leveraging":[78],"learning":[80],"generate":[82],"scarce":[83],"category":[84],"An":[86],"initial":[87],"classifier":[88,98],"employed":[90],"constrain":[92],"generated":[94],"results,":[95],"while":[96],"dynamically":[100],"reconstructed":[101],"enhance":[103],"overall":[104],"performance.":[105],"designs":[108],"detailed":[109],"experiments":[110],"demonstrate":[112],"that,":[113],"compared":[114],"other":[116],"existing":[117],"methods,":[118],"can":[122],"better":[123],"solve":[124],"problem":[126],"pantograph":[128],"diagnosis.":[130]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}