{"id":"https://openalex.org/W7135035343","doi":"https://doi.org/10.1109/access.2026.3673403","title":"A Deep Reinforcement Learning Approach for Fault Detection in Continuous Chemical Processes","display_name":"A Deep Reinforcement Learning Approach for Fault Detection in Continuous Chemical Processes","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7135035343","doi":"https://doi.org/10.1109/access.2026.3673403"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3673403","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3673403","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3673403","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077610285","display_name":"Rodrigo Fontes Mantovani","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo F. Mantovani","raw_affiliation_strings":["Department of Chemical Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128841747","display_name":"Roberto C. Quinino","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Roberto C. Quinino","raw_affiliation_strings":["Department of Statistics, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-2178-1331","affiliations":[{"raw_affiliation_string":"Department of Statistics, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128804071","display_name":"\u00c9der D. Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"\u00c9der D. Oliveira","raw_affiliation_strings":["Department of Chemical Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-9045-3158","affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021819556","display_name":"A. P. Braga","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ant\u00f4nio P. Braga","raw_affiliation_strings":["Department of Electronics Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-9007-0920","affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128825816","display_name":"Gustavo M. De Almeida","orcid":null},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Gustavo M. De Almeida","raw_affiliation_strings":["Department of Energy Technology, Industrial Energy Systems Lab, Lappeenranta-Lahti University of Technology, Lappeenranta, Finland"],"raw_orcid":"https://orcid.org/0000-0002-2898-5177","affiliations":[{"raw_affiliation_string":"Department of Energy Technology, Industrial Energy Systems Lab, Lappeenranta-Lahti University of Technology, Lappeenranta, Finland","institution_ids":["https://openalex.org/I63548447"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33012137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"41633","last_page":"41649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.8323000073432922,"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":0.8323000073432922,"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/T12127","display_name":"Software System Performance and Reliability","score":0.025499999523162842,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.013399999588727951,"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/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.7214999794960022},{"id":"https://openalex.org/keywords/chemical-process","display_name":"Chemical process","score":0.6086999773979187},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.5485000014305115},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5112000107765198},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.49410000443458557},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.37860000133514404},{"id":"https://openalex.org/keywords/process-systems","display_name":"Process systems","score":0.3061999976634979}],"concepts":[{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.7214999794960022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002999782562256},{"id":"https://openalex.org/C124223222","wikidata":"https://www.wikidata.org/wiki/Q2281940","display_name":"Chemical process","level":2,"score":0.6086999773979187},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.5485000014305115},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5112000107765198},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.49410000443458557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41119998693466187},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.334199994802475},{"id":"https://openalex.org/C2994520618","wikidata":"https://www.wikidata.org/wiki/Q7247260","display_name":"Process systems","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.30239999294281006},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.27869999408721924},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3673403","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3673403","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fd361702ed19496cb9b6f7516b64a35b","is_oa":true,"landing_page_url":"https://doaj.org/article/fd361702ed19496cb9b6f7516b64a35b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 41633-41649 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3673403","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3673403","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Fault":[0],"detection":[1,19,103,172,178,242,263],"in":[2,71,84,94,104,243,275],"continuous":[3,105],"industrial":[4,56,227,276],"processes":[5],"is":[6],"crucial":[7],"to":[8,27,112,124,163,177,192,202,205,211,257],"ensure":[9],"production,":[10],"quality,":[11],"safety,":[12],"environmental":[13],"and":[14,39,74,120,159,175,246,261,266],"economic":[15],"aspects.":[16],"Reliable":[17],"fault":[18,57,102,194,228,241],"systems":[20],"have":[21,47],"become":[22],"even":[23],"more":[24,213],"necessary":[25],"due":[26],"increasingly":[28],"stringent":[29],"regulations.":[30],"The":[31,87,108,128,141,230,269],"complexity":[32],"of":[33,42,51,90,116,226,264],"processes,":[34,79],"on":[35,44],"the":[36,40,45,49,52,113,165,206,262],"one":[37],"hand,":[38],"availability":[41],"data,":[43],"other,":[46],"spread":[48],"adoption":[50],"data-driven":[53],"approach":[54,167],"for":[55,67,101,152,187,223,240],"detection.":[58,229],"Deep":[59],"Reinforcement":[60],"Learning":[61],"(RL)":[62],"has":[63],"recently":[64],"been":[65],"applied":[66],"this":[68,91],"purpose,":[69],"mainly":[70],"rotating":[72],"machinery":[73],"rolling":[75],"bearings.":[76],"In":[77],"chemical":[78,106,153,251],"most":[80],"RL":[81,166,209],"applications":[82],"are":[83,110],"process":[85,154],"control.":[86],"main":[88],"contribution":[89],"work":[92],"lies":[93],"proposing":[95],"a":[96,126,138,272],"reinforcement":[97],"learning":[98],"(RL)-based":[99],"framework":[100],"processes.":[107,252],"challenges":[109],"related":[111],"large":[114],"number":[115],"variables,":[117],"nonlinear":[118],"relationships":[119],"changing":[121],"operational":[122],"dynamics,":[123],"name":[125],"few.":[127],"classic":[129],"Tennessee":[130],"Eastman":[131],"Process":[132],"(TEP)":[133],"benchmark":[134],"was":[135],"used":[136,151],"as":[137,250],"case":[139],"study.":[140],"results":[142,197,231],"were":[143,198],"compared":[144],"with":[145,200,255],"Principal":[146],"Component":[147],"Analysis":[148],"(PCA),":[149],"commonly":[150],"monitoring,":[155],"dynamic":[156],"PCA":[157],"(DPCA),":[158],"neural":[160],"networks.":[161],"Compared":[162,204],"PCA,":[164],"showed":[168],"considerably":[169],"lower":[170],"missed":[171],"rate":[173,185],"(MDR)":[174],"time":[176],"(TTD)":[179],"while":[180],"maintaining":[181],"reasonable":[182],"false":[183],"alarm":[184,259],"(FAR)":[186],"all":[188],"hard-to-detect":[189],"faults,":[190],"contributing":[191],"early":[193],"detectability.":[195],"Similar":[196],"obtained":[199],"regard":[201,256],"DPCA.":[203],"supervised":[207],"approach,":[208],"proved":[210],"be":[212,220,237],"flexible":[214],"regarding":[215],"model":[216],"parameterization,":[217],"which":[218],"can":[219,236],"very":[221,238],"useful":[222,239],"practical":[224],"aspects":[225],"show":[232],"that":[233],"RL-based":[234],"approaches":[235],"continuous,":[244],"non-linear,":[245],"time-varying":[247],"systems,":[248],"such":[249],"For":[253],"example,":[254],"adaptive":[258],"thresholds":[260],"known":[265],"unknown":[267],"faults.":[268],"latter":[270],"represents":[271],"major":[273],"challenge":[274],"practice.":[277]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-13T00:00:00"}
