{"id":"https://openalex.org/W3216552235","doi":"https://doi.org/10.1109/etfa45728.2021.9613529","title":"Anomaly Detection in Electromechanical Systems by means of Deep-Autoencoder","display_name":"Anomaly Detection in Electromechanical Systems by means of Deep-Autoencoder","publication_year":2021,"publication_date":"2021-09-07","ids":{"openalex":"https://openalex.org/W3216552235","doi":"https://doi.org/10.1109/etfa45728.2021.9613529","mag":"3216552235"},"language":"en","primary_location":{"id":"doi:10.1109/etfa45728.2021.9613529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa45728.2021.9613529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th IEEE 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":"http://hdl.handle.net/2117/360838","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"],"affiliations":[{"raw_affiliation_string":"Technical University of Catalonia,MCIA Research Center,Departament of Electronic Engineering,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 Electronic Engineering,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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045539352","display_name":"V\u00edctor Mart\u00ednez-Viol","orcid":"https://orcid.org/0000-0003-2916-8395"},"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":"Victor Martinez-Viol","raw_affiliation_strings":["Technical University of Catalonia,MCIA Research Center,Departament of Electronic Engineering,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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069055860","display_name":"Angel Fernandez-Sobrino","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":"Angel Fernandez-Sobrino","raw_affiliation_strings":["Technical University of Catalonia,MCIA Research Center,Departament of Electronic Engineering,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"]}]},{"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":0.8398,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79445971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9901999831199646,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9891999959945679,"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/autoencoder","display_name":"Autoencoder","score":0.9062532186508179},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8329150080680847},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8300681114196777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.683925986289978},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6154921650886536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002888083457947},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5913584232330322},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.502061128616333},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47074657678604126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4466990828514099},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4219525456428528},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.32555216550827026},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08823111653327942}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9062532186508179},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8329150080680847},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8300681114196777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.683925986289978},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6154921650886536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002888083457947},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5913584232330322},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.502061128616333},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47074657678604126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4466990828514099},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4219525456428528},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.32555216550827026},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08823111653327942},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/etfa45728.2021.9613529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa45728.2021.9613529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","raw_type":"proceedings-article"},{"id":"pmh:oai:upcommons.upc.edu:2117/360838","is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/360838","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","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:2117/360838","is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/360838","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference report"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1612033961","display_name":null,"funder_award_id":"710065","funder_id":"https://openalex.org/F4320321739","funder_display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda"},{"id":"https://openalex.org/G3875748329","display_name":null,"funder_award_id":"European Regional Development Fund","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G453067482","display_name":null,"funder_award_id":"014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G5317956557","display_name":null,"funder_award_id":"2020.","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5634946813","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G6660225447","display_name":null,"funder_award_id":"co-financed","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G6870533126","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8538941428","display_name":null,"funder_award_id":"Regional Development Fund","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W2065194550","https://openalex.org/W2136922672","https://openalex.org/W2515930229","https://openalex.org/W2581853886","https://openalex.org/W2798712787","https://openalex.org/W2899160681","https://openalex.org/W2899303216","https://openalex.org/W2913682694","https://openalex.org/W2915476573","https://openalex.org/W2944122571","https://openalex.org/W2956467153","https://openalex.org/W2979577036","https://openalex.org/W2981218876","https://openalex.org/W3006676164","https://openalex.org/W3037107365","https://openalex.org/W3043401064","https://openalex.org/W3126796721","https://openalex.org/W6768307927"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,21,65,76,132],"in":[2,11,58,67,90,99,110,122,158,166],"manufacturing":[3],"processes":[4],"is":[5,116],"one":[6],"of":[7,15,22,33,52,69,92,95,128,155,161,164,177],"the":[8,12,16,30,49,59,63,93,96,126,153,156,159,175,178],"main":[9],"concerns":[10],"new":[13],"era":[14],"Industry":[17],"4.0":[18],"framework.":[19],"The":[20,148],"uncharacterized":[23],"events":[24],"represents":[25,55],"a":[26,113,170],"major":[27],"challenge":[28],"within":[29],"operation":[31,165],"monitoring":[32],"electrical":[34],"rotatory":[35],"machinery.":[36],"In":[37],"this":[38,111],"regard,":[39],"although":[40],"several":[41],"machine":[42],"learning":[43],"techniques":[44],"have":[45],"been":[46],"classically":[47],"considered,":[48],"recent":[50],"appearance":[51],"deep-learning":[53],"approaches":[54],"an":[56,100,106],"opportunity":[57],"field":[60],"to":[61,124,174],"increase":[62],"anomaly":[64,75,131],"capabilities":[66],"front":[68,91],"complex":[70],"electromechanical":[71,107,167],"systems.":[72],"However,":[73],"each":[74],"technique":[77],"considers":[78],"its":[79],"own":[80],"data":[81,97],"interpretability":[82],"and":[83],"modelling":[84],"strategy,":[85],"which":[86],"should":[87],"be":[88],"analyzed":[89],"specificities":[94],"generated":[98],"industrial":[101],"environment":[102],"and,":[103,145],"specifically,":[104],"by":[105],"actuator.":[108],"Thus,":[109],"study,":[112],"comparison":[114],"framework":[115],"considered":[117],"including":[118],"multiple":[119],"fault":[120],"scenarios":[121],"order":[123],"analyze":[125],"performance":[127,172],"four":[129],"representative":[130],"techniques,":[133],"that":[134,152],"is,":[135],"one-class":[136],"support":[137],"vector":[138],"machine,":[139],"k-nearest":[140],"neighbor,":[141],"Gaussian":[142],"mixture":[143],"model":[144],"finally,":[146],"deep-autoencoder.":[147],"experimental":[149],"results":[150],"suggest":[151],"use":[154],"deep-autoencoder":[157],"task":[160],"detecting":[162],"anomalies":[163],"systems":[168],"has":[169],"higher":[171],"compared":[173],"state":[176],"art":[179],"methods.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
