{"id":"https://openalex.org/W4412605383","doi":"https://doi.org/10.1109/tkde.2025.3591827","title":"IGES-RCI: Improved Greedy Equivalence Search and Recursive Causal Inference for Industrial Equipment Failure Prediction","display_name":"IGES-RCI: Improved Greedy Equivalence Search and Recursive Causal Inference for Industrial Equipment Failure Prediction","publication_year":2025,"publication_date":"2025-07-23","ids":{"openalex":"https://openalex.org/W4412605383","doi":"https://doi.org/10.1109/tkde.2025.3591827"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3591827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3591827","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data 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":null,"display_name":"Xu Zhao","orcid":"https://orcid.org/0009-0002-7706-5841"},"institutions":[{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhao","raw_affiliation_strings":["Intelligent Sensing and Control International Joint Laboratory, School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-7706-5841","affiliations":[{"raw_affiliation_string":"Intelligent Sensing and Control International Joint Laboratory, School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I11406153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020059382","display_name":"Weibing Wan","orcid":"https://orcid.org/0000-0002-7092-9849"},"institutions":[{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibing Wan","raw_affiliation_strings":["Intelligent Sensing and Control International Joint Laboratory, School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7092-9849","affiliations":[{"raw_affiliation_string":"Intelligent Sensing and Control International Joint Laboratory, School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I11406153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055905608","display_name":"Zhijun Fang","orcid":"https://orcid.org/0000-0001-8563-5678"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Fang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8563-5678","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.15760662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"10","first_page":"5983","last_page":"5993"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9750999808311462,"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"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9750999808311462,"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"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9366000294685364,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11719","display_name":"Data Quality and Management","score":0.9334999918937683,"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/computer-science","display_name":"Computer science","score":0.6904544830322266},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.6426694393157959},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6307635307312012},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5428166389465332},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.4371694028377533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38475096225738525},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3597462773323059},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3473743200302124},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3158837556838989},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18211138248443604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12941089272499084},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09256866574287415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904544830322266},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.6426694393157959},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6307635307312012},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5428166389465332},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.4371694028377533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38475096225738525},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3597462773323059},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3473743200302124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3158837556838989},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18211138248443604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12941089272499084},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09256866574287415}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3591827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3591827","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2071268744","https://openalex.org/W2078002529","https://openalex.org/W2171977756","https://openalex.org/W2943198600","https://openalex.org/W2945520991","https://openalex.org/W2974009533","https://openalex.org/W2982402336","https://openalex.org/W3005733487","https://openalex.org/W3025638857","https://openalex.org/W3089361203","https://openalex.org/W3127093137","https://openalex.org/W3135165196","https://openalex.org/W3212480536","https://openalex.org/W4200209073","https://openalex.org/W4205596837","https://openalex.org/W4229054007","https://openalex.org/W4293195805","https://openalex.org/W4296426235","https://openalex.org/W4312271813","https://openalex.org/W4312796233","https://openalex.org/W4312882605","https://openalex.org/W4313137733","https://openalex.org/W4313190649","https://openalex.org/W4318576753","https://openalex.org/W4320015917","https://openalex.org/W4372260129","https://openalex.org/W4382053195","https://openalex.org/W4388430454","https://openalex.org/W4392668912","https://openalex.org/W4393964974","https://openalex.org/W4396783917","https://openalex.org/W4396784047","https://openalex.org/W4401017711","https://openalex.org/W4403863412","https://openalex.org/W4405602698","https://openalex.org/W4406458711","https://openalex.org/W4407432998"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2055243143"],"abstract_inverted_index":{"Predicting":[0],"equipment":[1],"failures":[2],"plays":[3],"a":[4,22,104],"pivotal":[5],"role":[6],"in":[7,97,147],"minimizing":[8],"maintenance":[9],"costs":[10],"and":[11,46,91,121,128,145],"boosting":[12],"production":[13],"efficiency":[14],"within":[15],"the":[16,52,57,68,71,93,98,115,135],"industrial":[17,150],"sector.":[18],"This":[19],"paper":[20],"introduces":[21],"novel":[23],"approach":[24],"that":[25,134],"integrates":[26],"Causal":[27],"Inference":[28],"with":[29],"predictive":[30],"modeling":[31],"to":[32,66,81,110,118],"enhance":[33],"prediction":[34,100,129],"accuracy,":[35],"tackling":[36],"key":[37],"challenges":[38],"such":[39],"as":[40],"noise":[41,90],"interference,":[42],"insufficient":[43],"causal":[44,53,72,84,94,106,116],"validation,":[45],"missing":[47,112],"data.":[48],"We":[49],"first":[50],"validate":[51],"connections":[54],"identified":[55],"by":[56],"Greedy":[58],"Equivalence":[59],"Search":[60],"algorithm":[61],"using":[62],"conditional":[63],"mutual":[64],"information":[65,75],"strengthen":[67],"reliability":[69],"of":[70],"graph.":[73],"An":[74],"bottleneck":[76],"strategy":[77],"is":[78],"then":[79],"employed":[80],"isolate":[82],"essential":[83],"features,":[85],"effectively":[86],"filtering":[87],"out":[88],"irrelevant":[89],"refining":[92],"structure.":[95],"Crucially,":[96],"actual":[99],"phase,":[101],"we":[102],"propose":[103],"recursive":[105],"inference-based":[107],"imputation":[108],"method":[109,137],"handle":[111],"data,":[113],"leveraging":[114],"graph":[117],"iteratively":[119],"infer":[120],"fill":[122],"gaps,":[123],"thereby":[124],"improving":[125],"data":[126],"completeness":[127],"accuracy.":[130],"Experimental":[131],"results":[132],"demonstrate":[133],"proposed":[136],"significantly":[138],"outperforms":[139],"existing":[140],"approaches,":[141],"exhibiting":[142],"superior":[143],"accuracy":[144],"robustness":[146],"managing":[148],"complex":[149],"datasets.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
