{"id":"https://openalex.org/W4392408459","doi":"https://doi.org/10.1109/icsc58660.2023.10449829","title":"Autoencoder-Based Unsupervised Anomaly Detection in Induction Motors Diagnosis","display_name":"Autoencoder-Based Unsupervised Anomaly Detection in Induction Motors Diagnosis","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4392408459","doi":"https://doi.org/10.1109/icsc58660.2023.10449829"},"language":"en","primary_location":{"id":"doi:10.1109/icsc58660.2023.10449829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsc58660.2023.10449829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 11th International Conference on Systems and Control (ICSC)","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/A5037260697","display_name":"Tarek Aroui","orcid":"https://orcid.org/0000-0001-9829-0672"},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"T. Aroui","raw_affiliation_strings":["Universit&#x00E9; de Sousse, Ecole Nationale d&#x0027;Ing&#x00E9;nieurs de Sousse,Sousse,Tunisia,4054"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Sousse, Ecole Nationale d&#x0027;Ing&#x00E9;nieurs de Sousse,Sousse,Tunisia,4054","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075469152","display_name":"Sameh Marmouch","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"S. Marmouch","raw_affiliation_strings":["Universit&#x00E9; de Sousse, Ecole Nationale d&#x0027;Ing&#x00E9;nieurs de Sousse,Sousse,Tunisia,4054"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Sousse, Ecole Nationale d&#x0027;Ing&#x00E9;nieurs de Sousse,Sousse,Tunisia,4054","institution_ids":["https://openalex.org/I8636806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037260697"],"corresponding_institution_ids":["https://openalex.org/I8636806"],"apc_list":null,"apc_paid":null,"fwci":0.1878,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53540553,"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":"817","last_page":"822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9973000288009644,"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":0.9973000288009644,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9811999797821045,"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/autoencoder","display_name":"Autoencoder","score":0.9283817410469055},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6735813617706299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5636024475097656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5501840114593506},{"id":"https://openalex.org/keywords/induction-motor","display_name":"Induction motor","score":0.5437726378440857},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.44879379868507385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4466813802719116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32015547156333923},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17511719465255737},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1296989917755127},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07829740643501282},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.05557301640510559},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.05143022537231445}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9283817410469055},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6735813617706299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5636024475097656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5501840114593506},{"id":"https://openalex.org/C80962145","wikidata":"https://www.wikidata.org/wiki/Q207450","display_name":"Induction motor","level":3,"score":0.5437726378440857},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.44879379868507385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4466813802719116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32015547156333923},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17511719465255737},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1296989917755127},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07829740643501282},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.05557301640510559},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.05143022537231445},{"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":1,"locations":[{"id":"doi:10.1109/icsc58660.2023.10449829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsc58660.2023.10449829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 11th International Conference on Systems and Control (ICSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2292560765","https://openalex.org/W2899609137","https://openalex.org/W2920102455","https://openalex.org/W2941548268","https://openalex.org/W3035330751","https://openalex.org/W3125751276","https://openalex.org/W3186512740","https://openalex.org/W4205525990","https://openalex.org/W4224213953","https://openalex.org/W4285727724","https://openalex.org/W4293538888","https://openalex.org/W4294219609","https://openalex.org/W6810373207"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259"],"abstract_inverted_index":{"The":[0,8,91],"autoencoder":[1],"is":[2,48],"widely":[3],"used":[4,75],"in":[5,43],"anomaly":[6,9,41],"detection.":[7,61],"detection-based":[10],"approach":[11,47],"assumes":[12],"a":[13,95],"reconstruction":[14],"error":[15],"for":[16,57],"the":[17,22,52,64,67,70],"anomalous":[18],"samples":[19],"higher":[20],"than":[21],"normal":[23,31],"ones":[24],"and":[25,69,84],"can":[26],"identify":[27],"abnormal":[28],"data":[29],"from":[30],"data.":[32],"This":[33],"paper":[34],"compares":[35],"two":[36],"deep":[37],"autoencoders":[38],"to":[39],"earlier":[40],"detection":[42,99],"electric":[44],"motors.":[45],"Our":[46],"based":[49],"on":[50],"reconstructing":[51],"stator":[53],"current":[54],"temporal":[55],"signal":[56],"rotor":[58,89],"broken":[59],"bars":[60],"To":[62],"evaluate":[63],"performance":[65],"of":[66,88],"Dense":[68],"conv1D":[71],"autoencoder,":[72],"we":[73],"have":[74],"an":[76],"experimental":[77],"database":[78],"acquired":[79],"under":[80],"varied":[81],"load":[82],"conditions":[83],"with":[85],"different":[86],"types":[87],"faults.":[90],"results":[92],"obtained":[93],"show":[94],"promising":[96],"induction":[97],"momotornomaly":[98],"approach.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
