{"id":"https://openalex.org/W4403278991","doi":"https://doi.org/10.1109/is61756.2024.10705190","title":"An Investigation into Unsupervised Anomaly Detection for Data-Driven Predictive Maintenance","display_name":"An Investigation into Unsupervised Anomaly Detection for Data-Driven Predictive Maintenance","publication_year":2024,"publication_date":"2024-08-29","ids":{"openalex":"https://openalex.org/W4403278991","doi":"https://doi.org/10.1109/is61756.2024.10705190"},"language":"en","primary_location":{"id":"doi:10.1109/is61756.2024.10705190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is61756.2024.10705190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","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/A5003859746","display_name":"Wesley Doorsamy","orcid":"https://orcid.org/0000-0001-9043-9882"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wesley Doorsamy","raw_affiliation_strings":["School of Electronic and Electrical Engineering, University of Leeds,Leeds,United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, University of Leeds,Leeds,United Kingdom","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079866137","display_name":"Pitshou N. Bokoro","orcid":"https://orcid.org/0000-0002-9178-2700"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Pitshou Bokoro","raw_affiliation_strings":["University of Johannesburg,Department of Electrical and Electronic Engineering Technology,Johannesburg,South Africa"],"affiliations":[{"raw_affiliation_string":"University of Johannesburg,Department of Electrical and Electronic Engineering Technology,Johannesburg,South Africa","institution_ids":["https://openalex.org/I24027795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003859746"],"corresponding_institution_ids":["https://openalex.org/I130828816"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67635532,"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":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9833999872207642,"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":0.9833999872207642,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9508000016212463,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7373798489570618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6050647497177124},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"Predictive maintenance","score":0.5033027529716492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4554980397224426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3806627094745636},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36281728744506836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34450763463974},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.16865453124046326},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15585392713546753}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7373798489570618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6050647497177124},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.5033027529716492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4554980397224426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3806627094745636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36281728744506836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34450763463974},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.16865453124046326},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15585392713546753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is61756.2024.10705190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is61756.2024.10705190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1558253763","https://openalex.org/W1570448133","https://openalex.org/W1984345094","https://openalex.org/W2019505419","https://openalex.org/W2038819732","https://openalex.org/W2122646361","https://openalex.org/W2191950414","https://openalex.org/W2248121975","https://openalex.org/W2296719434","https://openalex.org/W2510374144","https://openalex.org/W2620661538","https://openalex.org/W2737722670","https://openalex.org/W2766761849","https://openalex.org/W2770006443","https://openalex.org/W2899323951","https://openalex.org/W2903719205","https://openalex.org/W2912199514","https://openalex.org/W2919567172","https://openalex.org/W2921410104","https://openalex.org/W2944122571","https://openalex.org/W2952589828","https://openalex.org/W2964336507","https://openalex.org/W2971328464","https://openalex.org/W2974421298","https://openalex.org/W3007200303","https://openalex.org/W3007310562","https://openalex.org/W3009436815","https://openalex.org/W3026717820","https://openalex.org/W3044714453","https://openalex.org/W3082206978","https://openalex.org/W3086419524","https://openalex.org/W3089028909","https://openalex.org/W3091751937","https://openalex.org/W3101969501","https://openalex.org/W3109834858","https://openalex.org/W3113087030","https://openalex.org/W3120241129","https://openalex.org/W3125201108","https://openalex.org/W3133134712","https://openalex.org/W3133850924","https://openalex.org/W3158401270","https://openalex.org/W3163273607","https://openalex.org/W3164768164","https://openalex.org/W3164952570","https://openalex.org/W3176177171","https://openalex.org/W3178731909","https://openalex.org/W3191563648","https://openalex.org/W3198299806","https://openalex.org/W3201654139","https://openalex.org/W3206060653","https://openalex.org/W4200070426","https://openalex.org/W4205474285","https://openalex.org/W4206107981","https://openalex.org/W4207018378","https://openalex.org/W4212953874","https://openalex.org/W4213101742","https://openalex.org/W4220752988","https://openalex.org/W4220982575","https://openalex.org/W4221006858","https://openalex.org/W4221134235","https://openalex.org/W4224323533","https://openalex.org/W4226158669","https://openalex.org/W4235091326","https://openalex.org/W4236362309","https://openalex.org/W4254182148","https://openalex.org/W4256141317","https://openalex.org/W4281477405","https://openalex.org/W4283213093","https://openalex.org/W4283734726","https://openalex.org/W4285106051","https://openalex.org/W4285109105","https://openalex.org/W4285257394","https://openalex.org/W4285272052","https://openalex.org/W4285276855","https://openalex.org/W4286656589","https://openalex.org/W4297973310","https://openalex.org/W4313644197","https://openalex.org/W6631190155","https://openalex.org/W6770714465"],"related_works":["https://openalex.org/W2951640941","https://openalex.org/W591863984","https://openalex.org/W2795136348","https://openalex.org/W962477430","https://openalex.org/W2903360172","https://openalex.org/W2277319453","https://openalex.org/W2391563149","https://openalex.org/W2105642232","https://openalex.org/W23403803","https://openalex.org/W2222570178"],"abstract_inverted_index":{"This":[0],"study":[1,63],"explores":[2],"anomaly":[3,45,71],"detection":[4,46,72,136,166],"in":[5,27,48,52,91,150,167],"predictive":[6,37,168],"maintenance,":[7],"focusing":[8],"on":[9,127,161],"unsupervised":[10,44,70,165],"learning":[11],"techniques":[12],"for":[13,69,87,164],"online":[14],"condition":[15],"monitoring.":[16,99],"The":[17,40,62],"shift":[18],"from":[19],"model-based":[20],"to":[21,140],"data-driven":[22],"approaches,":[23],"facilitated":[24],"by":[25],"advancements":[26],"sensing":[28],"technologies":[29],"and":[30,79,85,97],"computer":[31],"science,":[32],"is":[33,60,117,138],"examined":[34],"within":[35],"the":[36,92,104,110,119,128,151],"maintenance":[38,169],"framework.":[39],"efficacy":[41],"of":[42,67,94,130,145,153],"prominent":[43],"methods":[47,68,163],"identifying":[49],"abnormal":[50],"patterns":[51],"equipment":[53],"data":[54],"streams,":[55],"particularly":[56,149],"streaming":[57],"time-series":[58],"data,":[59],"assessed.":[61],"evaluates":[64],"three":[65],"classes":[66],"-":[73,83],"Local":[74],"Outlier":[75],"Factor,":[76],"Isolation":[77],"Forests,":[78],"Long":[80,105,131],"Short-Term":[81,106,132],"Memory":[82,107,133],"quantitatively":[84],"qualitatively,":[86],"different":[88],"unique":[89],"contexts":[90],"case":[93,152],"machine":[95],"vibration":[96],"temperature":[98],"Results":[100],"indicate":[101],"that":[102],"although":[103],"model":[108],"outperforms":[109],"other":[111],"models":[112],"across":[113],"various":[114],"metrics,":[115],"there":[116],"still":[118],"challenge":[120,144],"with":[121],"root":[122,146],"cause":[123,147],"analysis.":[124],"An":[125],"improvement":[126],"use":[129],"as":[134],"a":[135],"technique":[137],"presented":[139],"address":[141],"this":[142],"specific":[143],"analysis,":[148],"gradual":[154],"degradation":[155],"and/or":[156],"cascading":[157],"faults.":[158],"Further":[159],"recommendations":[160],"evaluating":[162],"are":[170],"also":[171],"offered.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
