{"id":"https://openalex.org/W7165004297","doi":"https://doi.org/10.3390/a19060485","title":"A Wavelet-Based Evolving Fuzzy Framework for Fault Diagnosis in the Tennessee Eastman Process","display_name":"A Wavelet-Based Evolving Fuzzy Framework for Fault Diagnosis in the Tennessee Eastman Process","publication_year":2026,"publication_date":"2026-06-17","ids":{"openalex":"https://openalex.org/W7165004297","doi":"https://doi.org/10.3390/a19060485"},"language":"en","primary_location":{"id":"doi:10.3390/a19060485","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a19060485","pdf_url":"https://www.mdpi.com/1999-4893/19/6/485/pdf?version=1781669786","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/19/6/485/pdf?version=1781669786","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012120022","display_name":"Marco Antonio M\u00e1rquez-Vera","orcid":"https://orcid.org/0000-0002-2969-9084"},"institutions":[{"id":"https://openalex.org/I4210095198","display_name":"Universidad Polit\u00e9cnica de Pachuca","ror":"https://ror.org/00r63rv29","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210095198"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Marco Antonio M\u00e1rquez-Vera","raw_affiliation_strings":["Mechatronics and Automotive Engineering, Polytechnic University of Pachuca, Zempoala 43830, Hidalgo, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-2969-9084","affiliations":[{"raw_affiliation_string":"Mechatronics and Automotive Engineering, Polytechnic University of Pachuca, Zempoala 43830, Hidalgo, Mexico","institution_ids":["https://openalex.org/I4210095198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083787910","display_name":"Jorge A. Ru\u00edz-Vanoye","orcid":"https://orcid.org/0000-0003-4928-5716"},"institutions":[{"id":"https://openalex.org/I4210095198","display_name":"Universidad Polit\u00e9cnica de Pachuca","ror":"https://ror.org/00r63rv29","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210095198"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jorge A. Ruiz-Vanoye","raw_affiliation_strings":["Mechatronics and Automotive Engineering, Polytechnic University of Pachuca, Zempoala 43830, Hidalgo, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-4928-5716","affiliations":[{"raw_affiliation_string":"Mechatronics and Automotive Engineering, Polytechnic University of Pachuca, Zempoala 43830, Hidalgo, Mexico","institution_ids":["https://openalex.org/I4210095198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042513819","display_name":"C.A. M\u00e1rquez-Vera","orcid":null},"institutions":[{"id":"https://openalex.org/I147280213","display_name":"Universidad Veracruzana","ror":"https://ror.org/03efxn362","country_code":"MX","type":"education","lineage":["https://openalex.org/I147280213"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Carlos Antonio M\u00e1rquez-Vera","raw_affiliation_strings":["Chemical Engineering, Universidad Veracruzana, Poza Rica 93390, Veracruz, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-2192-665X","affiliations":[{"raw_affiliation_string":"Chemical Engineering, Universidad Veracruzana, Poza Rica 93390, Veracruz, Mexico","institution_ids":["https://openalex.org/I147280213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083183052","display_name":"Alfian Ma\u2019arif","orcid":"https://orcid.org/0000-0002-3482-971X"},"institutions":[{"id":"https://openalex.org/I2608206482","display_name":"Universitas Ahmad Dahlan","ror":"https://ror.org/03hn13397","country_code":"ID","type":"education","lineage":["https://openalex.org/I2608206482"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Alfian Ma\u2019arif","raw_affiliation_strings":["Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta 55166, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-3482-971X","affiliations":[{"raw_affiliation_string":"Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta 55166, Indonesia","institution_ids":["https://openalex.org/I2608206482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5138822854","display_name":"Edith Mendoza-Ram\u00edrez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095198","display_name":"Universidad Polit\u00e9cnica de Pachuca","ror":"https://ror.org/00r63rv29","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210095198"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Edith Mendoza-Ram\u00edrez","raw_affiliation_strings":["Mechatronics and Automotive Engineering, Polytechnic University of Pachuca, Zempoala 43830, Hidalgo, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechatronics and Automotive Engineering, Polytechnic University of Pachuca, Zempoala 43830, Hidalgo, Mexico","institution_ids":["https://openalex.org/I4210095198"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012120022"],"corresponding_institution_ids":["https://openalex.org/I4210095198"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1930},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1930},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58592971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"6","first_page":"485","last_page":"485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9786999821662903,"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":0.9786999821662903,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.003700000001117587,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.0032999999821186066,"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/preprocessor","display_name":"Preprocessor","score":0.7960000038146973},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6829000115394592},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6746000051498413},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6409000158309937},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5629000067710876},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5400999784469604},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.49480000138282776},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4375},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.43380001187324524}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7960000038146973},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6829000115394592},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6746000051498413},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6409000158309937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6269999742507935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5716999769210815},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5629000067710876},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5400999784469604},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.49480000138282776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4790000021457672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4749999940395355},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4375},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.3880000114440918},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.34290000796318054},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3343000113964081},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.32440000772476196},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a19060485","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a19060485","pdf_url":"https://www.mdpi.com/1999-4893/19/6/485/pdf?version=1781669786","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:998e03ee9c9b46c18f7fb7db2dbe5830","is_oa":false,"landing_page_url":"https://doaj.org/article/998e03ee9c9b46c18f7fb7db2dbe5830","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 19, Iss 6, p 485 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a19060485","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a19060485","pdf_url":"https://www.mdpi.com/1999-4893/19/6/485/pdf?version=1781669786","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5093321800231934,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.48120906949043274,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7165004297.pdf","grobid_xml":"https://content.openalex.org/works/W7165004297.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W322952782","https://openalex.org/W1438045566","https://openalex.org/W1966654857","https://openalex.org/W1970537494","https://openalex.org/W1999860347","https://openalex.org/W2004186751","https://openalex.org/W2028063358","https://openalex.org/W2047090954","https://openalex.org/W2052345845","https://openalex.org/W2057974719","https://openalex.org/W2060304859","https://openalex.org/W2093768254","https://openalex.org/W2135663228","https://openalex.org/W2143288231","https://openalex.org/W2151863350","https://openalex.org/W2152161790","https://openalex.org/W2162635690","https://openalex.org/W2415111748","https://openalex.org/W2518835065","https://openalex.org/W2769336468","https://openalex.org/W2804610476","https://openalex.org/W2969278551","https://openalex.org/W2978144367","https://openalex.org/W3016013196","https://openalex.org/W3175549500","https://openalex.org/W3192612465","https://openalex.org/W4250364582","https://openalex.org/W4288906845","https://openalex.org/W4308034629","https://openalex.org/W4386573243","https://openalex.org/W4401359815","https://openalex.org/W4407852419","https://openalex.org/W4414904868","https://openalex.org/W4415009646","https://openalex.org/W4415423998","https://openalex.org/W4416278860","https://openalex.org/W7117579762","https://openalex.org/W7133977260"],"related_works":[],"abstract_inverted_index":{"Evolving":[0],"fuzzy":[1,29],"systems":[2],"(EFS)":[3],"offer":[4],"an":[5],"incremental":[6,32],"learning,":[7],"making":[8],"them":[9],"promising":[10],"for":[11,66,81,155,182,199],"fault":[12,124,218],"diagnosis":[13],"(FD)":[14],"in":[15,96,129],"industrial":[16],"processes,":[17],"where":[18],"unknown":[19],"faults":[20,84,156],"and":[21,38,94,159,165,184,202,217],"changing":[22],"operation":[23],"conditions":[24],"are":[25],"common.":[26],"The":[27,206],"evolving":[28],"structure":[30],"enables":[31],"rule":[33],"adaptation":[34],"while":[35,161],"maintaining":[36],"interpretability":[37],"reduced":[39],"computational":[40],"complexity":[41],"compared":[42,220],"with":[43,102,138,221],"deep":[44],"learning":[45],"approaches.":[46],"However,":[47],"the":[48,55,70,114,127,130,133,144,186,222],"performance":[49,154],"of":[50,57,141,188],"EFS":[51,67,77,181],"depends":[52],"heavily":[53],"on":[54],"preprocessing":[56,64,131,178,212],"input":[58],"data.":[59],"This":[60,106],"study":[61],"evaluates":[62],"eight":[63],"strategies":[65],"applied":[68,121],"to":[69,98,122],"Tennessee":[71],"Eastman":[72],"benchmark":[73],"process.":[74],"A":[75],"one-vs-rest":[76],"architecture":[78],"was":[79],"implemented":[80],"ten":[82],"representative":[83],"(IDV1,":[85],"IDV2,":[86,163],"IDV4,":[87],"IDV5,":[88,164],"IDV6,":[89,157],"IDV7,":[90,158],"IDV8,":[91],"IDV10,":[92],"IDV13":[93],"IDV14)":[95],"order":[97],"make":[99],"a":[100,139],"comparison":[101],"other":[103],"FD":[104],"techniques.":[105],"approach":[107],"uses":[108],"seven":[109],"variables":[110],"selected":[111],"by":[112,193],"using":[113],"least":[115],"angle":[116],"regression.":[117],"Preprocessing":[118],"methods":[119],"were":[120],"highlight":[123],"signatures.":[125],"Using":[126],"Daubechies-4":[128,196],"achieved":[132],"best":[134],"overall":[135],"F1-score":[136],"(73.68%)":[137],"sensitivity":[140,169],"97.37%,":[142],"outperforming":[143],"no-preprocessing":[145],"baseline":[146],"(F1":[147],"=":[148],"70.67%).":[149],"Per-fault":[150],"analysis":[151],"showed":[152],"high":[153,168],"IDV14,":[160],"IDV1,":[162],"IDV8":[166],"exhibited":[167],"but":[170],"lower":[171],"specificity.":[172],"These":[173],"findings":[174],"indicate":[175],"that":[176,185,210],"wavelet":[177,189,211],"significantly":[179],"enhances":[180],"FD,":[183],"choice":[187],"should":[190],"be":[191],"guided":[192],"application":[194],"priorities:":[195],"is":[197],"recommended":[198],"maximum":[200],"detection":[201],"fewer":[203],"false":[204],"alarms.":[205],"obtained":[207],"results":[208],"demonstrate":[209],"substantially":[213],"improves":[214],"classification":[215],"robustness":[216],"discrimination":[219],"non-preprocessed":[223],"baseline.":[224]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-06-18T00:00:00"}