{"id":"https://openalex.org/W7163075222","doi":"https://doi.org/10.1109/jas.2026.125837","title":"A New Knowledge Mining and Root Cause Analysis Methodology for Multivariate Time Series","display_name":"A New Knowledge Mining and Root Cause Analysis Methodology for Multivariate Time Series","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7163075222","doi":"https://doi.org/10.1109/jas.2026.125837"},"language":null,"primary_location":{"id":"doi:10.1109/jas.2026.125837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2026.125837","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","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/A5015622958","display_name":"X Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Wang","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology,Qingdao,266590"],"raw_orcid":"https://orcid.org/0000-0002-2495-287X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology,Qingdao,266590","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101119740","display_name":"Faming Lu","orcid":"https://orcid.org/0000-0002-7643-576X"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faming Lu","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology,Qingdao,China,266590"],"raw_orcid":"https://orcid.org/0000-0002-1992-7127","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology,Qingdao,China,266590","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Electrical and Computer Engineering,Newark,NJ,USA,07102"],"raw_orcid":"https://orcid.org/0000-0002-5408-8752","affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Electrical and Computer Engineering,Newark,NJ,USA,07102","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129374161","display_name":"Qingtian Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingtian Zeng","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology,Qingdao,China,266590"],"raw_orcid":"https://orcid.org/0000-0002-6421-8223","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology,Qingdao,China,266590","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69552042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"5","first_page":"1054","last_page":"1067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.6676999926567078,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.6676999926567078,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.056699998676776886,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.024900000542402267,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/time-series","display_name":"Time series","score":0.5170000195503235},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.454800009727478},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4429999887943268},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"Root cause analysis","score":0.40290001034736633},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.34709998965263367},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.30959999561309814}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6021999716758728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.536300003528595},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5170000195503235},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4372999966144562},{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.40290001034736633},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3034000098705292},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.288100004196167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2644999921321869},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jas.2026.125837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2026.125837","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1942633596","https://openalex.org/W2004186751","https://openalex.org/W2022069994","https://openalex.org/W2104281034","https://openalex.org/W2158181749","https://openalex.org/W2593118993","https://openalex.org/W2789804389","https://openalex.org/W2908623803","https://openalex.org/W2952141781","https://openalex.org/W2965218277","https://openalex.org/W2980249749","https://openalex.org/W3016567374","https://openalex.org/W3020905425","https://openalex.org/W3037228998","https://openalex.org/W3047048628","https://openalex.org/W3091351385","https://openalex.org/W3127939318","https://openalex.org/W3133777397","https://openalex.org/W3168629863","https://openalex.org/W3198066883","https://openalex.org/W3204065262","https://openalex.org/W4210764489","https://openalex.org/W4225747963","https://openalex.org/W4226291174","https://openalex.org/W4246075700","https://openalex.org/W4291109205","https://openalex.org/W4304959471","https://openalex.org/W4307568969","https://openalex.org/W4307645741","https://openalex.org/W4309822043","https://openalex.org/W4313215608","https://openalex.org/W4317521247","https://openalex.org/W4319066509","https://openalex.org/W4319870537","https://openalex.org/W4362514754","https://openalex.org/W4366371074","https://openalex.org/W4377079695","https://openalex.org/W4379116774","https://openalex.org/W4387476891","https://openalex.org/W4388000103","https://openalex.org/W4390576320","https://openalex.org/W4390905651","https://openalex.org/W4390912481","https://openalex.org/W4392382189","https://openalex.org/W4393253049","https://openalex.org/W4394828208","https://openalex.org/W4394834602","https://openalex.org/W4399661208","https://openalex.org/W4403279365","https://openalex.org/W4403826990"],"related_works":[],"abstract_inverted_index":{"Root":[0],"cause":[1],"analysis":[2],"(RCA)":[3],"aims":[4],"to":[5,128,171],"discover":[6],"the":[7,16,35,42,54,60,91,149,172,176],"root":[8],"causes":[9],"of":[10,19,56,93,141,145],"abnormal":[11,20],"events.":[12],"Causal":[13],"relations":[14,37,114,165],"reveal":[15],"evolution":[17],"process":[18],"events,":[21],"which":[22],"plays":[23],"a":[24,72,138],"crucial":[25],"role":[26],"in":[27,96,106,118,132,180],"RCA.":[28,57,123],"However,":[29],"existing":[30],"methods":[31,179],"neither":[32],"explicitly":[33],"emphasize":[34],"\u201cAND/OR\u201d":[36,113,164],"among":[38],"causes,":[39],"nor":[40],"consider":[41,163],"synergy":[43,116,167],"effects":[44,117],"owned":[45],"by":[46,62,182],"non-causal":[47],"variables":[48],"on":[49],"causal":[50],"rules,":[51],"thereby":[52],"affecting":[53],"credibility":[55],"To":[58],"address":[59],"issues,":[61],"fusing":[63],"Petri":[64,87,94],"nets":[65,95],"and":[66,76,98,103,115,122,135,148,166],"Bayesian":[67,85,104],"networks,":[68],"this":[69],"study":[70,140],"proposes":[71],"new":[73],"knowledge":[74,120,133],"mining":[75,121,134],"RCA":[77,178],"methodology":[78],"for":[79],"multivariate":[80],"time":[81,86],"series,":[82],"called":[83],"synergy-incorporated":[84],"net.":[88],"It":[89,109],"integrates":[90],"advantages":[92],"modeling":[97],"analyzing":[99],"complex":[100],"temporal":[101,119],"dependencies":[102],"networks":[105],"evidence":[107],"reasoning.":[108],"takes":[110],"into":[111],"account":[112],"Two":[124],"cases":[125,157],"are":[126],"employed":[127],"verify":[129],"its":[130],"performance":[131],"RCA,":[136],"including":[137],"case":[139],"quality":[142],"anomaly":[143],"detection":[144],"solar":[146],"panels":[147],"Tennessee-Eastman":[150],"process.":[151],"The":[152],"experimental":[153],"results":[154],"from":[155],"both":[156],"indicate":[158],"that":[159],"it":[160,174],"can":[161],"effectively":[162],"effects.":[168],"When":[169],"applied":[170],"former,":[173],"outperforms":[175],"state-of-the-art":[177],"accuracy":[181],"over":[183],"11%.":[184]},"counts_by_year":[],"updated_date":"2026-06-03T06:16:58.514037","created_date":"2026-06-02T00:00:00"}