{"id":"https://openalex.org/W3004221345","doi":"https://doi.org/10.1109/ieem44572.2019.8978509","title":"Case Study: A Semi-Supervised Methodology for Anomaly Detection and Diagnosis","display_name":"Case Study: A Semi-Supervised Methodology for Anomaly Detection and Diagnosis","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3004221345","doi":"https://doi.org/10.1109/ieem44572.2019.8978509","mag":"3004221345"},"language":"en","primary_location":{"id":"doi:10.1109/ieem44572.2019.8978509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem44572.2019.8978509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","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/A5083841871","display_name":"Andr\u00e9s Morales-Forero","orcid":"https://orcid.org/0000-0002-9729-7028"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"A. Morales-Forero","raw_affiliation_strings":["Mathematics and Industrial Engineering (MAGI), Ecole Polytechnique de Montreal,Montreal,Canada","Mathematics and Industrial Engineering (MAGI), Ecole Polytechnique de Montreal, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Mathematics and Industrial Engineering (MAGI), Ecole Polytechnique de Montreal,Montreal,Canada","institution_ids":["https://openalex.org/I45683168"]},{"raw_affiliation_string":"Mathematics and Industrial Engineering (MAGI), Ecole Polytechnique de Montreal, Montreal, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030184055","display_name":"Samuel Bassetto","orcid":"https://orcid.org/0000-0002-0648-0653"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Bassetto","raw_affiliation_strings":["Mathematics and Industrial Engineering (MAGI), Ecole Polytechnique de Montreal,Montreal,Canada","Mathematics and Industrial Engineering (MAGI), Ecole Polytechnique de Montreal, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Mathematics and Industrial Engineering (MAGI), Ecole Polytechnique de Montreal,Montreal,Canada","institution_ids":["https://openalex.org/I45683168"]},{"raw_affiliation_string":"Mathematics and Industrial Engineering (MAGI), Ecole Polytechnique de Montreal, Montreal, Canada","institution_ids":["https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083841871"],"corresponding_institution_ids":["https://openalex.org/I45683168"],"apc_list":null,"apc_paid":null,"fwci":1.1642,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79978889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1031","last_page":"1037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9977999925613403,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7891789674758911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7330384850502014},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7012792825698853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6646871566772461},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5857876539230347},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5599716305732727},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.5468679070472717},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.5176365971565247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5074264407157898},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4949111342430115},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4820590913295746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4690456986427307},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3912031054496765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3501574695110321}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7891789674758911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330384850502014},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7012792825698853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6646871566772461},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5857876539230347},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5599716305732727},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.5468679070472717},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.5176365971565247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5074264407157898},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4949111342430115},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4820590913295746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4690456986427307},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3912031054496765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3501574695110321},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ieem44572.2019.8978509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem44572.2019.8978509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.polymtl.ca:45209","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/45209/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W187043655","https://openalex.org/W562231173","https://openalex.org/W1705056854","https://openalex.org/W1822348759","https://openalex.org/W1967833105","https://openalex.org/W1982418571","https://openalex.org/W1988529147","https://openalex.org/W2004186751","https://openalex.org/W2040373051","https://openalex.org/W2095705004","https://openalex.org/W2109965063","https://openalex.org/W2143559571","https://openalex.org/W2150291618","https://openalex.org/W2195660543","https://openalex.org/W2212703438","https://openalex.org/W2726367589","https://openalex.org/W2728229829","https://openalex.org/W2768800090","https://openalex.org/W2785362611","https://openalex.org/W2788592841","https://openalex.org/W2904171273","https://openalex.org/W2962765660","https://openalex.org/W2963045681","https://openalex.org/W2963266340","https://openalex.org/W3098957257","https://openalex.org/W6607543680","https://openalex.org/W6674330103","https://openalex.org/W6687011383","https://openalex.org/W6688167117","https://openalex.org/W6842205172"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W2346052352","https://openalex.org/W2181685535","https://openalex.org/W2260512244","https://openalex.org/W2752333462"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,27,39,43,54,61,84,109,118],"semi-supervised":[4,55],"methodology":[5],"for":[6,58,68],"anomaly":[7],"detection":[8,35,59],"and":[9,22,33,42,60,124],"diagnosis":[10,44],"is":[11,74,92],"proposed.":[12],"The":[13],"approach":[14],"combines":[15],"techniques":[16],"of":[17,36,45,76,79,117],"non-parametric":[18],"statistics,":[19],"quality":[20],"control,":[21],"deep":[23],"learning":[24],"to":[25,98],"provide":[26],"tool":[28],"that":[29],"allows":[30],"an":[31,80],"adequate":[32],"online":[34],"faults":[37],"in":[38,94,121],"production":[40],"system":[41,120],"the":[46,50,69,77,95,100,104,128],"factors":[47],"associated":[48,102],"with":[49,103],"failure.":[51],"We":[52],"propose":[53],"neural":[56,72],"network":[57,73],"particular":[62],"control":[63],"chart":[64],"called":[65],"Open":[66,90],"Up":[67,91],"diagnosis.":[70],"This":[71,106],"composed":[75],"adjustment":[78],"autoencoder":[81],"followed":[82],"by":[83],"Long":[85],"Short-Term":[86],"Memory":[87],"model":[88],"(LSTM).":[89],"used":[93],"last":[96],"stage":[97],"identify":[99],"variables":[101],"anomaly.":[105],"proposal":[107],"achieves":[108],"high":[110],"correct":[111],"classification":[112],"rate":[113],"using":[114],"real":[115],"data":[116,126],"monitoring":[119],"paper":[122],"manufacturing":[123],"simulated":[125],"from":[127],"Tennessee":[129],"Eastman":[130],"Process.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}