{"id":"https://openalex.org/W2782742812","doi":"https://doi.org/10.1109/bigdata.2017.8258307","title":"Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection","display_name":"Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782742812","doi":"https://doi.org/10.1109/bigdata.2017.8258307","mag":"2782742812"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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/A5033484092","display_name":"Yong Oh Lee","orcid":"https://orcid.org/0000-0003-3817-3620"},"institutions":[{"id":"https://openalex.org/I4210094302","display_name":"KIST Europe","ror":"https://ror.org/00p3ce068","country_code":"DE","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210094302","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["DE","KR"],"is_corresponding":false,"raw_author_name":"Yong Oh Lee","raw_affiliation_strings":["Smart Convergence Group, Korea Institute of Science and Technology, Saarbri\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smart Convergence Group, Korea Institute of Science and Technology, Saarbri\u00fccken, Germany","institution_ids":["https://openalex.org/I4210094302","https://openalex.org/I58716616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048681988","display_name":"Jun Jo","orcid":"https://orcid.org/0000-0002-3099-2712"},"institutions":[{"id":"https://openalex.org/I4210094302","display_name":"KIST Europe","ror":"https://ror.org/00p3ce068","country_code":"DE","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210094302","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["DE","KR"],"is_corresponding":false,"raw_author_name":"Jun Jo","raw_affiliation_strings":["Smart Convergence Group, Korea Institute of Science and Technology, Saarbri\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smart Convergence Group, Korea Institute of Science and Technology, Saarbri\u00fccken, Germany","institution_ids":["https://openalex.org/I4210094302","https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018361561","display_name":"Jongwoon Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094302","display_name":"KIST Europe","ror":"https://ror.org/00p3ce068","country_code":"DE","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210094302","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["DE","KR"],"is_corresponding":false,"raw_author_name":"Jongwoon Hwang","raw_affiliation_strings":["Smart Convergence Group, Korea Institute of Science and Technology, Saarbri\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smart Convergence Group, Korea Institute of Science and Technology, Saarbri\u00fccken, Germany","institution_ids":["https://openalex.org/I4210094302","https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9798,"has_fulltext":false,"cited_by_count":158,"citation_normalized_percentile":{"value":0.98260266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3248","last_page":"3253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9882000088691711,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9869999885559082,"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/oversampling","display_name":"Oversampling","score":0.9152871370315552},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.676213264465332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6743713617324829},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.655517578125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6150379180908203},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6065341830253601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5390720963478088},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5316508412361145},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5250339508056641},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5198010206222534},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.502661943435669},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4548741579055786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36203014850616455},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.10252237319946289},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09881773591041565},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.07831889390945435}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9152871370315552},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.676213264465332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743713617324829},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.655517578125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6150379180908203},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6065341830253601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5390720963478088},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5316508412361145},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5250339508056641},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5198010206222534},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.502661943435669},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4548741579055786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36203014850616455},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.10252237319946289},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09881773591041565},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.07831889390945435},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8258307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324232","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1976035027","https://openalex.org/W1985969430","https://openalex.org/W1991723619","https://openalex.org/W2011643344","https://openalex.org/W2022477494","https://openalex.org/W2040181375","https://openalex.org/W2044049559","https://openalex.org/W2057608512","https://openalex.org/W2069286190","https://openalex.org/W2076774767","https://openalex.org/W2099250634","https://openalex.org/W2104933073","https://openalex.org/W2104972512","https://openalex.org/W2125849121","https://openalex.org/W2136922672","https://openalex.org/W2156091126","https://openalex.org/W2162204245","https://openalex.org/W2168961103","https://openalex.org/W2173520492","https://openalex.org/W2318299325","https://openalex.org/W2335074117","https://openalex.org/W2374022194","https://openalex.org/W2464878551","https://openalex.org/W2478589344","https://openalex.org/W2488793338","https://openalex.org/W2766440025","https://openalex.org/W2962782102","https://openalex.org/W2964121744","https://openalex.org/W3147765605","https://openalex.org/W4249691579","https://openalex.org/W4302368431","https://openalex.org/W6631190155","https://openalex.org/W6745324332","https://openalex.org/W6793127723"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"As":[0],"data":[1,38,46,50],"visibility":[2],"in":[3,17],"factories":[4],"has":[5,14,21],"increased":[6],"with":[7,111],"the":[8,30,34,68,85,92,96,105],"deployment":[9],"of":[10,36,44,103,107],"sensors,":[11],"data-driven":[12],"maintenance":[13],"become":[15],"popular":[16],"industries.":[18],"Machine":[19],"learning":[20],"been":[22],"a":[23,49,57,71],"promising":[24],"tool":[25],"for":[26,61],"fault":[27,37,62],"detection,":[28],"but":[29],"problem":[31],"is":[32,39,101],"that":[33,43,82],"amount":[35],"much":[40],"less":[41],"than":[42],"normal":[45],"which":[47],"causes":[48],"imbalance.":[51],"In":[52],"this":[53],"study,":[54],"we":[55],"designed":[56,100],"deep":[58,97],"neural":[59,98],"network":[60,74,88,99],"detection":[63],"and":[64,66,95],"diagnosis,":[65],"compared":[67],"oversampling":[69,77,83],"by":[70,84],"generative":[72,86],"adversarial":[73,87],"to":[75],"standard":[76],"techniques.":[78],"Simulation":[79],"results":[80],"indicate":[81],"performs":[89],"well":[90],"under":[91],"given":[93],"condition":[94],"capable":[102],"classifying":[104],"faults":[106],"an":[108],"induction":[109],"motor":[110],"high":[112],"accuracy.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
