{"id":"https://openalex.org/W4387567515","doi":"https://doi.org/10.1109/etfa54631.2023.10275407","title":"Deep Learning-Based Partial Transfer Fault Diagnosis Methodology for Electromechanical Systems","display_name":"Deep Learning-Based Partial Transfer Fault Diagnosis Methodology for Electromechanical Systems","publication_year":2023,"publication_date":"2023-09-12","ids":{"openalex":"https://openalex.org/W4387567515","doi":"https://doi.org/10.1109/etfa54631.2023.10275407"},"language":"en","primary_location":{"id":"doi:10.1109/etfa54631.2023.10275407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa54631.2023.10275407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2117/397444","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082531315","display_name":"Francisco Arellano-Espitia","orcid":"https://orcid.org/0000-0001-5841-0561"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Francisco Arellano-Espitia","raw_affiliation_strings":["Technical University of Catalonia,MCIA Research Center,Departament of Electronic Engineering,Terrassa,Spain","Departament of Electronic Engineering, MCIA Research Center, Technical University of Catalonia, Terrassa, Spain"],"affiliations":[{"raw_affiliation_string":"Technical University of Catalonia,MCIA Research Center,Departament of Electronic Engineering,Terrassa,Spain","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Departament of Electronic Engineering, MCIA Research Center, Technical University of Catalonia, Terrassa, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078539665","display_name":"Miguel Delgado-Prieto","orcid":"https://orcid.org/0000-0001-9282-838X"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Delgado-Prieto","raw_affiliation_strings":["Technical University of Catalonia,MCIA Research Center,Departament of Automatic Control,Terrassa,Spain","Departament of Automatic Control, MCIA Research Center, Technical University of Catalonia, Terrassa, Spain"],"affiliations":[{"raw_affiliation_string":"Technical University of Catalonia,MCIA Research Center,Departament of Automatic Control,Terrassa,Spain","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Departament of Automatic Control, MCIA Research Center, Technical University of Catalonia, Terrassa, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093049296","display_name":"Joan Valls-Perez","orcid":null},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joan Valls-Perez","raw_affiliation_strings":["Technical University of Catalonia,MCIA Research Center,Departament of Electronic Engineering,Terrassa,Spain","Departament of Electronic Engineering, MCIA Research Center, Technical University of Catalonia, Terrassa, Spain"],"affiliations":[{"raw_affiliation_string":"Technical University of Catalonia,MCIA Research Center,Departament of Electronic Engineering,Terrassa,Spain","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Departament of Electronic Engineering, MCIA Research Center, Technical University of Catalonia, Terrassa, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038708149","display_name":"Juan Jos\u00e9 Saucedo-Dorantes","orcid":"https://orcid.org/0000-0001-9026-6694"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan Jose Saucedo-Dorantes","raw_affiliation_strings":["Autonomous University of Queretaro,HSPdigital CA-Mecatronica Engineering Faculty,San Juan del Rio,Mexico","HSPdigital CA-Mecatronica Engineering Faculty, Autonomous University of Queretaro, San Juan del Rio, Mexico"],"affiliations":[{"raw_affiliation_string":"Autonomous University of Queretaro,HSPdigital CA-Mecatronica Engineering Faculty,San Juan del Rio,Mexico","institution_ids":["https://openalex.org/I157492648"]},{"raw_affiliation_string":"HSPdigital CA-Mecatronica Engineering Faculty, Autonomous University of Queretaro, San Juan del Rio, Mexico","institution_ids":["https://openalex.org/I157492648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046490122","display_name":"Roque A. Osornio\u2010Rios","orcid":"https://orcid.org/0000-0003-0868-2918"},"institutions":[{"id":"https://openalex.org/I157492648","display_name":"Autonomous University of Queretaro","ror":"https://ror.org/00v8fdc16","country_code":"MX","type":"education","lineage":["https://openalex.org/I157492648"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Roque Alfredo Osornio-Rios","raw_affiliation_strings":["Autonomous University of Queretaro,HSPdigital CA-Mecatronica Engineering Faculty,San Juan del Rio,Mexico","HSPdigital CA-Mecatronica Engineering Faculty, Autonomous University of Queretaro, San Juan del Rio, Mexico"],"affiliations":[{"raw_affiliation_string":"Autonomous University of Queretaro,HSPdigital CA-Mecatronica Engineering Faculty,San Juan del Rio,Mexico","institution_ids":["https://openalex.org/I157492648"]},{"raw_affiliation_string":"HSPdigital CA-Mecatronica Engineering Faculty, Autonomous University of Queretaro, San Juan del Rio, Mexico","institution_ids":["https://openalex.org/I157492648"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082531315"],"corresponding_institution_ids":["https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":0.1848,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48695838,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9975000023841858,"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":0.9975000023841858,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9908000230789185,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9833999872207642,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.6976562142372131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684282124042511},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6543858647346497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6219087243080139},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5860597491264343},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5368478894233704},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5180209279060364},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45706406235694885},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.44677072763442993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08675834536552429}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6976562142372131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684282124042511},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6543858647346497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6219087243080139},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5860597491264343},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5368478894233704},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5180209279060364},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45706406235694885},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.44677072763442993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08675834536552429},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/etfa54631.2023.10275407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa54631.2023.10275407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)","raw_type":"proceedings-article"},{"id":"pmh:oai:upcommons.upc.edu:2117/397444","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/397444","pdf_url":null,"source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference report"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/397444","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/397444","pdf_url":null,"source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference report"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1731081199","https://openalex.org/W1875842236","https://openalex.org/W2165698076","https://openalex.org/W2556013418","https://openalex.org/W2763583057","https://openalex.org/W2793062918","https://openalex.org/W2798149494","https://openalex.org/W2803884688","https://openalex.org/W2810292802","https://openalex.org/W2910881901","https://openalex.org/W2964109570","https://openalex.org/W2990403609","https://openalex.org/W2999414995","https://openalex.org/W3003117720","https://openalex.org/W3025888249","https://openalex.org/W3036403470","https://openalex.org/W3201753566","https://openalex.org/W3213578841","https://openalex.org/W4298289240","https://openalex.org/W4302425098","https://openalex.org/W6631190155","https://openalex.org/W6637568146","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Recently,":[0],"transfer":[1,22],"learning":[2,100],"technology":[3],"has":[4],"provided":[5],"valuable":[6],"solutions":[7],"to":[8,69,104,126],"problems":[9,26],"that":[10,49,118],"are":[11,41,47],"present":[12],"in":[13,32,34,76],"machinery":[14],"with":[15,98],"industrial":[16],"applications.":[17],"Through":[18],"the":[19,36,71,78,81,90,119],"use":[20],"of":[21,89],"learning,":[23],"basic":[24],"diagnostic":[25],"have":[27],"been":[28],"well":[29],"addressed,":[30],"especially":[31],"scenarios":[33,48],"which":[35,77],"training":[37],"and":[38],"test":[39,115],"data":[40,79],"from":[42,80],"different":[43],"distributions.":[44],"However,":[45],"there":[46],"require":[50],"further":[51],"consideration,":[52],"such":[53],"as":[54],"partial":[55,72,106,128],"fault":[56,64,73,129],"diagnosis.":[57],"In":[58],"this":[59,127],"paper,":[60],"a":[61,86,95,123],"deep":[62],"learning-based":[63],"diagnosis":[65,74,130],"methodology":[66],"is":[67,102],"proposed":[68,103,120],"address":[70],"problem,":[75],"unsupervised":[82],"target":[83],"domain":[84,96,107],"represents":[85],"category":[87],"subspace":[88],"full":[91],"machine-state-label":[92],"space.":[93],"Specifically,":[94],"adaptation":[97],"adversarial":[99],"schemes":[101],"achieve":[105],"adaptation.":[108],"The":[109],"experimental":[110],"results":[111],"on":[112],"an":[113],"electromechanical":[114],"bench":[116],"suggest":[117],"approach":[121],"offers":[122],"practical":[124],"solution":[125],"problem.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
