{"id":"https://openalex.org/W4318147125","doi":"https://doi.org/10.1109/bigdata55660.2022.10020238","title":"Empirical Research in Anomaly Detection for Rotating Machines Diagnosis using Deep Learning","display_name":"Empirical Research in Anomaly Detection for Rotating Machines Diagnosis using Deep Learning","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318147125","doi":"https://doi.org/10.1109/bigdata55660.2022.10020238"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020238","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020238","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5083115255","display_name":"Chae-Won Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chae-Won Lee","raw_affiliation_strings":["Pukyong National University,School of Systems Management and Safety Engineering,Busan,Republic of Korea","School of Systems Management and Safety Engineering, Pukyong National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pukyong National University,School of Systems Management and Safety Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"School of Systems Management and Safety Engineering, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060772853","display_name":"So\u2010Hyun Cho","orcid":"https://orcid.org/0000-0002-1284-2040"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"So-Hyun Cho","raw_affiliation_strings":["Pukyong National University,School of Systems Management and Safety Engineering,Busan,Republic of Korea","School of Systems Management and Safety Engineering, Pukyong National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pukyong National University,School of Systems Management and Safety Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"School of Systems Management and Safety Engineering, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100678529","display_name":"Jong-Hun Lee","orcid":"https://orcid.org/0000-0002-9991-7083"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Hun Lee","raw_affiliation_strings":["Pukyong National University,School of Systems Management and Safety Engineering,Busan,Republic of Korea","School of Systems Management and Safety Engineering, Pukyong National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pukyong National University,School of Systems Management and Safety Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"School of Systems Management and Safety Engineering, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100750779","display_name":"Junseong Lee","orcid":"https://orcid.org/0000-0002-5004-7865"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Seong Lee","raw_affiliation_strings":["Pukyong National University,School of Systems Management and Safety Engineering,Busan,Republic of Korea","School of Systems Management and Safety Engineering, Pukyong National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pukyong National University,School of Systems Management and Safety Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"School of Systems Management and Safety Engineering, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084523518","display_name":"Sungchul Choi","orcid":"https://orcid.org/0000-0002-5836-3838"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungchul Choi","raw_affiliation_strings":["Pukyong National University,Department of Industrial and Data Engineering,Busan,Republic of Korea","Department of Industrial and Data Engineering, Pukyong National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pukyong National University,Department of Industrial and Data Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"Department of Industrial and Data Engineering, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083660980","display_name":"Wonchul Seo","orcid":"https://orcid.org/0000-0003-2247-0399"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won-Chul Seo","raw_affiliation_strings":["Pukyong National University,Department of Industrial and Data Engineering,Busan,Republic of Korea","Department of Industrial and Data Engineering, Pukyong National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pukyong National University,Department of Industrial and Data Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"Department of Industrial and Data Engineering, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083115255"],"corresponding_institution_ids":["https://openalex.org/I8991828"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29605662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6758","last_page":"6760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9721999764442444,"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":0.9721999764442444,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.9368000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7568830251693726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7169224619865417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.691286563873291},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.6450605392456055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6277005076408386},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5925208330154419},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5426928997039795},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.534038245677948},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.532024085521698},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.525107204914093},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4844379723072052},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4700663983821869},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45437145233154297},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4488735496997833},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.42496517300605774},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42154067754745483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34663718938827515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.24484091997146606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13181355595588684}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7568830251693726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7169224619865417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.691286563873291},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.6450605392456055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6277005076408386},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5925208330154419},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5426928997039795},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.534038245677948},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.532024085521698},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.525107204914093},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4844379723072052},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4700663983821869},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45437145233154297},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4488735496997833},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.42496517300605774},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42154067754745483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34663718938827515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24484091997146606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13181355595588684},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020238","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020238","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","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":4,"referenced_works":["https://openalex.org/W1512342603","https://openalex.org/W2113540897","https://openalex.org/W2116988653","https://openalex.org/W2954766832"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"This":[0],"paper":[1,132],"analyzes":[2],"a":[3,33,124],"deep":[4],"learning":[5],"model":[6,160],"technique":[7],"that":[8,81],"diagnoses":[9],"the":[10,24,45,53,56,83,87,92,97,136,156,159,165],"normal/abnormal":[11,40],"status":[12,41],"of":[13,26,47,55,89,138,158,167],"rotating":[14,34],"machinery":[15],"by":[16,44,161],"transforming":[17],"vibration":[18,27,57],"data":[19,74,90,93,108,143],"and":[20,38,68,77,104,115,117,134,150],"extracting":[21],"features.":[22],"In":[23],"case":[25],"data,":[28,58],"it":[29,59,154],"was":[30,42],"collected":[31],"from":[32],"shaft":[35],"alignment":[36,49],"machine,":[37],"its":[39],"defined":[43],"degree":[46],"axis":[48],"twist.":[50],"Due":[51],"to":[52,62,96],"characteristics":[54],"is":[60,94,126],"difficult":[61],"distinguish":[63],"between":[64,85],"two":[65,142,151],"instances":[66],"(normal":[67],"abnormal).":[69],"It":[70],"focuses":[71],"on":[72],"various":[73],"transformation":[75,144],"techniques":[76],"feature":[78,113,147],"extraction":[79,114,148],"methods":[80],"explain":[82],"distinction":[84],"instances.In":[86],"phase":[88],"preprocessing,":[91],"transformed":[95],"frequency":[98],"domain":[99],"using":[100,162],"Fast":[101],"Fourier":[102],"Transform":[103],"Wavelet":[105],"Transform.":[106],"The":[107],"then":[109],"utilized":[110],"Auto-encoding":[111],"for":[112,121,164],"MLP":[116],"CNN":[118],"as":[119],"models":[120],"predicting":[122],"whether":[123],"machine":[125,169],"normal":[127],"or":[128],"abnormal.":[129],"Consequently,":[130],"this":[131],"compares":[133],"evaluates":[135,155],"results":[137],"each":[139],"process":[140],"utilizing":[141],"techniques,":[145],"one":[146],"method,":[149],"models.":[152],"Finally,":[153],"performance":[157],"accuracy":[163],"classification":[166],"rotational":[168],"failure.":[170]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
