{"id":"https://openalex.org/W4409536769","doi":"https://doi.org/10.1109/icvisp64524.2024.10959352","title":"Rectified Flow-Based Generative Transfer Learning for System Fault Diagnosis","display_name":"Rectified Flow-Based Generative Transfer Learning for System Fault Diagnosis","publication_year":2024,"publication_date":"2024-12-27","ids":{"openalex":"https://openalex.org/W4409536769","doi":"https://doi.org/10.1109/icvisp64524.2024.10959352"},"language":"en","primary_location":{"id":"doi:10.1109/icvisp64524.2024.10959352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5100728390","display_name":"Ruonan Liu","orcid":"https://orcid.org/0000-0001-9963-7092"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruonan Liu","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048459649","display_name":"Shuai Wu","orcid":"https://orcid.org/0000-0002-2918-7046"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wu","raw_affiliation_strings":["Tianjin University, College of Intelligence and Computing,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, College of Intelligence and Computing,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406544","display_name":"Qiming Liu","orcid":"https://orcid.org/0000-0002-5213-2668"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiming Liu","raw_affiliation_strings":["Hebei University of Technology, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Mechanical Engineering,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Hebei University of Technology, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Mechanical Engineering,Tianjin,China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102751205","display_name":"Dong-Sheng Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Guo","raw_affiliation_strings":["Hainan University, School of Information and Communication Engineering,Hainan,China"],"affiliations":[{"raw_affiliation_string":"Hainan University, School of Information and Communication Engineering,Hainan,China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428737","display_name":"Weidong Zhang","orcid":"https://orcid.org/0000-0002-2433-6823"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100728390"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.7438,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85835364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9736999869346619,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9736999869346619,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9298999905586243,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9208999872207642,"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/computer-science","display_name":"Computer science","score":0.6841723322868347},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5870338678359985},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5467901229858398},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5019633769989014},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4264428913593292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4008973240852356},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08562275767326355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05161982774734497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6841723322868347},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5870338678359985},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5467901229858398},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5019633769989014},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4264428913593292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4008973240852356},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08562275767326355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05161982774734497},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp64524.2024.10959352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1982886981","https://openalex.org/W2063789075","https://openalex.org/W2072857564","https://openalex.org/W2791694051","https://openalex.org/W2805975258","https://openalex.org/W2898375427","https://openalex.org/W3098015864","https://openalex.org/W3128453436","https://openalex.org/W3152893301","https://openalex.org/W3178367256","https://openalex.org/W4200112017","https://openalex.org/W4319723206","https://openalex.org/W4376104384","https://openalex.org/W4400371237","https://openalex.org/W6791619219"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3201126466","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W2374712251","https://openalex.org/W4383031710","https://openalex.org/W3211753092"],"abstract_inverted_index":{"With":[0],"the":[1,9,13,31,38,47,72,91,113,118,123,131,161,177],"rapid":[2],"development":[3],"of":[4,17,33,40,49,95,139,179],"new":[5],"energy":[6,18],"sources":[7],"under":[8],"\u201cdual":[10],"carbon\u201d":[11],"background,":[12],"safety":[14],"and":[15,20,37,93,142],"stability":[16],"storage":[19],"power":[21],"generation":[22],"systems":[23],"have":[24],"attracted":[25],"widespread":[26],"attention.":[27],"This":[28,152],"paper":[29],"investigates":[30],"challenges":[32],"insufficient":[34],"training":[35,101],"data":[36,102,110,119,162],"limitations":[39],"existing":[41],"generative":[42,67],"transfer":[43,68,87],"learning":[44,69,88],"methods":[45,136],"in":[46,122,137,148,165],"field":[48],"system":[50,77,96,149,166,180],"fault":[51,78,97,150,167,181],"detection.":[52,79,151],"To":[53],"address":[54],"these":[55],"issues,":[56],"we":[57],"propose":[58],"a":[59,66],"graph":[60],"neural":[61],"network":[62],"model":[63,106,133,143],"based":[64],"on":[65],"method":[70],"utilizing":[71],"Rectified":[73,81],"Flow":[74,82],"algorithm":[75,83],"for":[76,174],"The":[80,105],"is":[84,103],"applied":[85],"to":[86,89,111,160],"enhance":[90],"efficiency":[92,141],"effectiveness":[94],"diagnosis,":[98],"especially":[99],"when":[100],"limited.":[104],"leverages":[107],"source":[108],"domain":[109,115],"train":[112],"target":[114,124],"data,":[116],"overcoming":[117],"scarcity":[120],"issue":[121],"domain.":[125],"Our":[126],"experimental":[127],"results":[128],"demonstrate":[129],"that":[130],"proposed":[132],"outperforms":[134],"traditional":[135],"terms":[138],"computational":[140],"conciseness,":[144],"showing":[145],"remarkable":[146],"performance":[147,178],"study":[153],"not":[154],"only":[155],"provides":[156],"an":[157],"effective":[158],"solution":[159],"insufficiency":[163],"problem":[164],"detection":[168],"but":[169],"also":[170],"offers":[171],"valuable":[172],"insights":[173],"further":[175],"enhancing":[176],"diagnosis.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
