{"id":"https://openalex.org/W7164849461","doi":"https://doi.org/10.1109/tase.2026.3703004","title":"Dynamic Dependencies of Fault-Related Variables-Based Interpretable Fault Diagnosis Framework for Industrial Processes","display_name":"Dynamic Dependencies of Fault-Related Variables-Based Interpretable Fault Diagnosis Framework for Industrial Processes","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7164849461","doi":"https://doi.org/10.1109/tase.2026.3703004"},"language":null,"primary_location":{"id":"doi:10.1109/tase.2026.3703004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2026.3703004","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","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/A5004905542","display_name":"Liang Ma","orcid":"https://orcid.org/0000-0002-0513-6770"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Ma","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0513-6770","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100577167","display_name":"Qikai Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qikai Yang","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016153320","display_name":"Kaixiang Peng","orcid":"https://orcid.org/0000-0001-8314-3047"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Peng","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8314-3047","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74852417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"11183","last_page":"11195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.6086000204086304,"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":0.6086000204086304,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.06520000100135803,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.03550000116229057,"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/process","display_name":"Process (computing)","score":0.5343000292778015},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4754999876022339},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4343999922275543},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.3562000095844269},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.32519999146461487},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.30079999566078186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5734000205993652},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5343000292778015},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4343999922275543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4124999940395355},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.3562000095844269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3513999879360199},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3352999985218048},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.32519999146461487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30329999327659607},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2957000136375427},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25429999828338623},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2026.3703004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2026.3703004","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7852867601","display_name":null,"funder_award_id":"62373041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8967638174","display_name":null,"funder_award_id":"YZISL2024014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G905115563","display_name":null,"funder_award_id":"62003030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Fault":[0],"diagnosis":[1,55,74,93,107,175,185,218],"plays":[2],"a":[3,98,132,150],"critical":[4],"role":[5],"in":[6,95,225],"ensuring":[7],"industrial":[8,17,59,84],"safety,":[9],"production":[10],"efficiency,":[11],"and":[12,34,44,69,86,91,124,148,158,187,206,223],"product":[13],"quality.":[14],"In":[15],"practical":[16],"processes,":[18],"various":[19],"process":[20,37,113,160,198],"variables":[21,103,114,147,163],"exhibit":[22],"distinct":[23],"sensitivities":[24],"to":[25,40,77,140,164,201],"different":[26],"fault":[27,54,73,92,106,125,170,174,217],"types.":[28],"Traditional":[29],"methods":[30],"that":[31,212],"directly":[32],"model":[33,67,89],"analyze":[35],"multivariate":[36,81],"data":[38],"tend":[39],"introduce":[41],"redundant":[42],"information":[43,82],"ignore":[45],"the":[46,53,66,71,80,88,119,142,166,180,184,195,203,213],"dynamic":[47,99,143],"interdependencies":[48],"among":[49,145],"variables,":[50],"thereby":[51],"deviating":[52],"mechanism":[56],"from":[57],"actual":[58],"operating":[60],"laws.":[61],"Such":[62],"issues":[63],"inevitably":[64],"impair":[65],"interpretability":[68,90],"degrade":[70],"overall":[72],"performance.":[75,208],"Therefore,":[76],"effectively":[78],"utilize":[79],"of":[83,101,161,169,220],"processes":[85],"enhance":[87],"performance,":[94],"this":[96],"paper,":[97],"dependencies":[100,144],"fault-related":[102,129,146,162],"based":[104,117,178,193],"interpretable":[105],"framework":[108],"is":[109,138,153,176],"proposed.":[110],"Specifically,":[111],"all":[112],"are":[115,199],"screened":[116],"on":[118,179,194],"distribution":[120],"differences":[121],"between":[122],"normal":[123],"samples":[126],"for":[127],"selecting":[128],"variables.":[130],"Subsequently,":[131],"new":[133],"graph":[134],"structure":[135],"learning":[136],"module":[137],"constructed":[139],"capture":[141],"build":[149],"graph,":[151],"which":[152],"incorporated":[154],"into":[155],"feature":[156],"enhancement":[157],"fusion":[159],"improve":[165],"representation":[167],"capability":[168],"features.":[171],"After":[172],"that,":[173],"performed":[177],"fused":[181],"features,":[182],"improving":[183],"accuracy":[186],"interpretability.":[188],"Finally,":[189],"three":[190,226],"case":[191],"studies":[192],"hot":[196],"rolling":[197],"designed":[200],"validate":[202],"effectiveness,":[204],"feasibility":[205],"generalization":[207],"Experimental":[209],"results":[210],"show":[211],"proposed":[214],"method":[215],"achieves":[216],"accuracies":[219],"97.67%,":[221],"95.5%,":[222],"98.12%":[224],"cases,":[227],"respectively.":[228]},"counts_by_year":[],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2026-06-16T00:00:00"}