{"id":"https://openalex.org/W2980518858","doi":"https://doi.org/10.1109/etfa.2019.8869461","title":"Generating Diagnostic Bayesian Networks from Qualitative Causal Models","display_name":"Generating Diagnostic Bayesian Networks from Qualitative Causal Models","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2980518858","doi":"https://doi.org/10.1109/etfa.2019.8869461","mag":"2980518858"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2019.8869461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2019.8869461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbit.dtu.dk/en/publications/d99f2305-00a1-4241-b029-bd0deaf9ad0a","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090068562","display_name":"Denis Kirchh\u00fcbel","orcid":"https://orcid.org/0000-0003-3001-3884"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Denis Kirchhubel","raw_affiliation_strings":["Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064097618","display_name":"Thomas Martini J\u00f8rgensen","orcid":"https://orcid.org/0000-0003-2920-1343"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Thomas Martini Jorgensen","raw_affiliation_strings":["Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090068562"],"corresponding_institution_ids":["https://openalex.org/I96673099"],"apc_list":null,"apc_paid":null,"fwci":0.7226,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79185344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1239","last_page":"1242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9990000128746033,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9916999936103821,"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/T11357","display_name":"Risk and Safety Analysis","score":0.9793999791145325,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7216947078704834},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7029119729995728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816241145133972},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5713422894477844},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5578171014785767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5128986835479736},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"Root cause analysis","score":0.5121538639068604},{"id":"https://openalex.org/keywords/root-cause","display_name":"Root cause","score":0.503135621547699},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4799804389476776},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.4478670656681061},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4381735324859619},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4249800741672516},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.42210400104522705},{"id":"https://openalex.org/keywords/root","display_name":"Root (linguistics)","score":0.4120883345603943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33986273407936096},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2145351767539978},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.19763022661209106},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.10723727941513062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09402820467948914}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7216947078704834},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7029119729995728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816241145133972},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5713422894477844},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5578171014785767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5128986835479736},{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.5121538639068604},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.503135621547699},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4799804389476776},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.4478670656681061},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4381735324859619},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4249800741672516},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.42210400104522705},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.4120883345603943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33986273407936096},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2145351767539978},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.19763022661209106},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.10723727941513062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09402820467948914},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/etfa.2019.8869461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2019.8869461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/d99f2305-00a1-4241-b029-bd0deaf9ad0a","is_oa":true,"landing_page_url":"https://orbit.dtu.dk/en/publications/d99f2305-00a1-4241-b029-bd0deaf9ad0a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kirchh\u00fcbel , D &amp; J\u00f8rgensen , T M 2019 , Generating Diagnostic Bayesian Networks from Qualitative Causal Models . in Proceedings of the 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation . IEEE , 24th IEEE International Conference on Emerging Technologies and Factory Automation , Zaragoza , Spain , 10/09/2019 .","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/d99f2305-00a1-4241-b029-bd0deaf9ad0a","is_oa":true,"landing_page_url":"https://orbit.dtu.dk/en/publications/d99f2305-00a1-4241-b029-bd0deaf9ad0a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kirchh\u00fcbel , D &amp; J\u00f8rgensen , T M 2019 , Generating Diagnostic Bayesian Networks from Qualitative Causal Models . in Proceedings of the 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation . IEEE , 24th IEEE International Conference on Emerging Technologies and Factory Automation , Zaragoza , Spain , 10/09/2019 .","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W755145179","https://openalex.org/W874225101","https://openalex.org/W1590736827","https://openalex.org/W1836839742","https://openalex.org/W2004186751","https://openalex.org/W2117052433","https://openalex.org/W2119542981","https://openalex.org/W2139078820","https://openalex.org/W2159080219","https://openalex.org/W2171265988","https://openalex.org/W2199213876","https://openalex.org/W2315454933","https://openalex.org/W2328630450","https://openalex.org/W2340576640","https://openalex.org/W2347027361","https://openalex.org/W2592546330","https://openalex.org/W2625118151","https://openalex.org/W2742221978","https://openalex.org/W2760912522","https://openalex.org/W3128518444","https://openalex.org/W4285719527","https://openalex.org/W4299165932","https://openalex.org/W4301208911","https://openalex.org/W6678043807","https://openalex.org/W6741988940","https://openalex.org/W6790339493"],"related_works":["https://openalex.org/W2030594396","https://openalex.org/W2754538212","https://openalex.org/W2490884653","https://openalex.org/W4200610016","https://openalex.org/W2183996497","https://openalex.org/W129587375","https://openalex.org/W2110363179","https://openalex.org/W2056250485","https://openalex.org/W2485437088","https://openalex.org/W2783457203"],"abstract_inverted_index":{"Safety":[0],"and":[1,83],"efficiency":[2],"of":[3,28,32,42,50,69,73,79,93],"modern":[4],"industrial":[5],"plants":[6],"can":[7,37],"be":[8],"improved":[9],"by":[10],"providing":[11],"operators":[12],"with":[13],"effective":[14],"digital":[15],"assistants":[16],"to":[17,59,88],"diagnose":[18],"abnormal":[19,44],"situations":[20],"occurring":[21],"in":[22],"the":[23,40,48,74,77,80,84,91],"plant.":[24],"To":[25],"make":[26],"sense":[27],"a":[29,70],"large":[30],"number":[31],"alarms,":[33],"root":[34],"cause":[35],"analysis":[36],"help":[38],"pinpoint":[39],"origin":[41],"an":[43],"situation.":[45],"We":[46],"investigate":[47],"translation":[49],"qualitative":[51],"causal":[52],"models":[53],"into":[54],"Bayesian":[55],"belief":[56],"networks":[57],"(BBN)":[58],"utilize":[60],"efficient":[61],"tools":[62],"for":[63],"probability":[64],"inference.":[65],"The":[66],"diagnosis":[67],"result":[68],"fault":[71],"scenario":[72],"Tennessee-Eastman-Process":[75],"highlight":[76],"feasibility":[78],"principle":[81],"approach":[82],"ongoing":[85],"research":[86],"aims":[87],"fully":[89],"leverage":[90],"potential":[92],"BBN.":[94]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
