{"id":"https://openalex.org/W4320725222","doi":"https://doi.org/10.1080/0951192x.2023.2177747","title":"Learning with supervised data for anomaly detection in smart manufacturing","display_name":"Learning with supervised data for anomaly detection in smart manufacturing","publication_year":2023,"publication_date":"2023-02-14","ids":{"openalex":"https://openalex.org/W4320725222","doi":"https://doi.org/10.1080/0951192x.2023.2177747"},"language":"en","primary_location":{"id":"doi:10.1080/0951192x.2023.2177747","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2023.2177747","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-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/A5030582288","display_name":"Meiling He","orcid":"https://orcid.org/0000-0003-1759-4223"},"institutions":[{"id":"https://openalex.org/I57053284","display_name":"Rockwell Automation (United States)","ror":"https://ror.org/01sx1pm50","country_code":"US","type":"company","lineage":["https://openalex.org/I57053284"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Meiling He","raw_affiliation_strings":["Department of AI/IoT DA&I-IT, Rockwell Automation, Inc., Milwaukee, USA"],"raw_orcid":"https://orcid.org/0000-0003-1759-4223","affiliations":[{"raw_affiliation_string":"Department of AI/IoT DA&I-IT, Rockwell Automation, Inc., Milwaukee, USA","institution_ids":["https://openalex.org/I57053284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046350393","display_name":"Matthew E.H. Petering","orcid":null},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Petering","raw_affiliation_strings":["University of Wisconsin \u2013 Milwaukee, Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin \u2013 Milwaukee, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072520319","display_name":"Phillip M. LaCasse","orcid":"https://orcid.org/0000-0003-2351-0372"},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Phillip LaCasse","raw_affiliation_strings":["Department of Industrial and Manufacturing Engineering, University of Wisconsin\u2013Milwaukee, Milwaukee, USA"],"raw_orcid":"https://orcid.org/0000-0003-2351-0372","affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Engineering, University of Wisconsin\u2013Milwaukee, Milwaukee, USA","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004545972","display_name":"Wilkistar Otieno","orcid":null},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wilkistar Otieno","raw_affiliation_strings":["University of Wisconsin \u2013 Milwaukee, Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin \u2013 Milwaukee, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068437513","display_name":"Francisco Maturana","orcid":"https://orcid.org/0000-0002-7532-8399"},"institutions":[{"id":"https://openalex.org/I57053284","display_name":"Rockwell Automation (United States)","ror":"https://ror.org/01sx1pm50","country_code":"US","type":"company","lineage":["https://openalex.org/I57053284"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francisco Maturana","raw_affiliation_strings":["Department of AI/IoT DA&I-IT, Rockwell Automation, Inc., Milwaukee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI/IoT DA&I-IT, Rockwell Automation, Inc., Milwaukee, USA","institution_ids":["https://openalex.org/I57053284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030582288"],"corresponding_institution_ids":["https://openalex.org/I57053284"],"apc_list":null,"apc_paid":null,"fwci":3.6257,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.92599422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"36","issue":"9","first_page":"1331","last_page":"1344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9976999759674072,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6410790085792542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158638000488281},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5994368195533752},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5707297325134277},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5585927367210388},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5400664806365967},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.48734840750694275},{"id":"https://openalex.org/keywords/cloud-manufacturing","display_name":"Cloud manufacturing","score":0.4732399880886078},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44252145290374756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4246307611465454},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3997093439102173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3424413800239563}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6410790085792542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158638000488281},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5994368195533752},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5707297325134277},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5585927367210388},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5400664806365967},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.48734840750694275},{"id":"https://openalex.org/C2778819808","wikidata":"https://www.wikidata.org/wiki/Q5135707","display_name":"Cloud manufacturing","level":3,"score":0.4732399880886078},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44252145290374756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4246307611465454},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3997093439102173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3424413800239563},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0951192x.2023.2177747","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2023.2177747","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W327991062","https://openalex.org/W1498436455","https://openalex.org/W1955857676","https://openalex.org/W1967079654","https://openalex.org/W1988790447","https://openalex.org/W2016023958","https://openalex.org/W2019505419","https://openalex.org/W2056132907","https://openalex.org/W2069954116","https://openalex.org/W2100472574","https://openalex.org/W2104167780","https://openalex.org/W2118978333","https://openalex.org/W2150766729","https://openalex.org/W2226450201","https://openalex.org/W2270692706","https://openalex.org/W2464234006","https://openalex.org/W2601486059","https://openalex.org/W2612526924","https://openalex.org/W2612972698","https://openalex.org/W2735372604","https://openalex.org/W2739009185","https://openalex.org/W2788276261","https://openalex.org/W2800788706","https://openalex.org/W2889064303","https://openalex.org/W2901584612","https://openalex.org/W2911964244","https://openalex.org/W2917141863","https://openalex.org/W2954547370","https://openalex.org/W2960929683","https://openalex.org/W2998168496","https://openalex.org/W3005283475","https://openalex.org/W3011722050","https://openalex.org/W3016838260","https://openalex.org/W3092363736","https://openalex.org/W3116969788","https://openalex.org/W3194459689","https://openalex.org/W4212883601","https://openalex.org/W4297995790"],"related_works":["https://openalex.org/W2522565568","https://openalex.org/W2051106391","https://openalex.org/W2967920229","https://openalex.org/W2568028109","https://openalex.org/W2296507804","https://openalex.org/W2913247776","https://openalex.org/W2230900064","https://openalex.org/W1978764218","https://openalex.org/W2338082995","https://openalex.org/W2524620548"],"abstract_inverted_index":{"The":[0,168],"emergence":[1],"of":[2,5,26,32,92,127,136],"the":[3,24,70,90,108,113,125,133,178],"Internet":[4],"Things":[6],"(IoT),":[7],"cloud":[8],"computing,":[9],"cyber-physical":[10],"systems,":[11],"system":[12],"integration,":[13],"big":[14],"data,":[15],"and":[16,46,65,77,111,131,152,156,165],"data":[17,45,72,94,130],"analytics":[18,59],"for":[19,138],"Industry":[20],"4.0":[21],"have":[22],"transformed":[23],"world":[25],"traditional":[27,99],"manufacturing":[28,34,57,175],"into":[29],"an":[30,145],"era":[31],"smart":[33,56,88,174],"(SM).":[35],"Smart":[36],"manufacturing\u2019s":[37],"central":[38],"focus":[39],"is":[40,95,170],"to":[41,51,61,104,123,172],"process":[42],"real-time":[43],"IoT":[44],"leverage":[47],"advanced":[48],"analytical":[49],"approaches":[50],"detect":[52],"abnormal":[53],"behaviors.":[54],"Social":[55],"applies":[58],"tools":[60],"empower":[62],"decision":[63],"makers":[64],"minimize":[66],"duplication":[67],"by":[68,83],"executing":[69],"repetitive":[71],"processing":[73],"work":[74],"more":[75],"consistently":[76],"precisely":[78],"than":[79],"can":[80],"be":[81,105],"done":[82],"a":[84,119],"human":[85],"operator.":[86],"In":[87],"manufacturing,":[89],"majority":[91,109],"industrial":[93],"imbalanced.":[96],"However,":[97],"most":[98],"machine":[100],"learning":[101,180],"algorithms":[102,137],"tend":[103],"biased":[106],"toward":[107],"class":[110],"under-represent":[112],"minority":[114],"class.":[115],"This":[116,141],"research":[117],"proposes":[118],"model":[120],"selection":[121],"architecture":[122],"automate":[124],"procedure":[126],"preprocessing":[128],"input":[129],"selecting":[132],"best":[134],"combination":[135],"anomaly":[139],"detection.":[140,167],"design":[142],"will":[143],"play":[144],"essential":[146],"role":[147],"in":[148,159,177],"producing":[149],"high-quality":[150],"products":[151],"improving":[153],"quality":[154],"control":[155],"business":[157],"processes":[158],"diverse":[160],"applications":[161],"including":[162],"predictive":[163],"maintenance":[164],"fault":[166],"framework":[169],"transferrable":[171],"any":[173],"task":[176],"supervised":[179],"domain.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
