{"id":"https://openalex.org/W2996069277","doi":"https://doi.org/10.1007/s41060-019-00202-3","title":"A novel fault propagation path identification inference algorithm using parent nodes filter","display_name":"A novel fault propagation path identification inference algorithm using parent nodes filter","publication_year":2019,"publication_date":"2019-12-17","ids":{"openalex":"https://openalex.org/W2996069277","doi":"https://doi.org/10.1007/s41060-019-00202-3","mag":"2996069277"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-019-00202-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s41060-019-00202-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","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/A5081874747","display_name":"Shuanzhu Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4403928295","display_name":"Jiangsu Frontier Electric Technology Co., Ltd. (China)","ror":"https://ror.org/03x2amr67","country_code":null,"type":"company","lineage":["https://openalex.org/I4403928295"]},{"id":"https://openalex.org/I4210090460","display_name":"Nanjing Institute of Railway Technology","ror":"https://ror.org/00ctyfm67","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuanzhu Sun","raw_affiliation_strings":["Jiangsu Frontier Electric Technology Co. Ltd., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Frontier Electric Technology Co. Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210090460","https://openalex.org/I4403928295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036594859","display_name":"Zhangkai Wu","orcid":"https://orcid.org/0000-0001-5494-0768"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangkai Wu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101988376","display_name":"Chunlei Zhou","orcid":"https://orcid.org/0009-0006-3415-3891"},"institutions":[{"id":"https://openalex.org/I4403928295","display_name":"Jiangsu Frontier Electric Technology Co., Ltd. (China)","ror":"https://ror.org/03x2amr67","country_code":null,"type":"company","lineage":["https://openalex.org/I4403928295"]},{"id":"https://openalex.org/I4210090460","display_name":"Nanjing Institute of Railway Technology","ror":"https://ror.org/00ctyfm67","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlei Zhou","raw_affiliation_strings":["Jiangsu Frontier Electric Technology Co. Ltd., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Frontier Electric Technology Co. Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210090460","https://openalex.org/I4403928295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047284932","display_name":"Xiaolong Qi","orcid":"https://orcid.org/0000-0001-5084-6731"},"institutions":[{"id":"https://openalex.org/I3130859241","display_name":"Yili Normal University","ror":"https://ror.org/019htgm96","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130859241"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Qi","raw_affiliation_strings":["Department of Electronics and Information Engineering, Yili Normal University, Yining, China","State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Yili Normal University, Yining, China","institution_ids":["https://openalex.org/I3130859241"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060217116","display_name":"Bei Song","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Song","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013420855","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0001-9328-1611"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Gao","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013420855"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.2891,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68253109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"10","issue":"2","first_page":"205","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.995199978351593,"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":0.995199978351593,"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":0.9871000051498413,"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":0.9724000096321106,"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":0.6758761405944824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6433824300765991},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6148945689201355},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6083287000656128},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.608128011226654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5783939957618713},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49165016412734985},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.49118563532829285},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.48061007261276245},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.47654491662979126},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47553181648254395},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.4565524458885193},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4317018687725067},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.37217357754707336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3083844780921936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3075340688228607},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14289554953575134},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13816100358963013}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6758761405944824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6433824300765991},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6148945689201355},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6083287000656128},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.608128011226654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5783939957618713},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49165016412734985},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.49118563532829285},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.48061007261276245},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.47654491662979126},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47553181648254395},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.4565524458885193},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4317018687725067},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.37217357754707336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3083844780921936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3075340688228607},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14289554953575134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13816100358963013},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41060-019-00202-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s41060-019-00202-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1511986666","https://openalex.org/W1571124305","https://openalex.org/W1992461476","https://openalex.org/W1997250454","https://openalex.org/W2004977422","https://openalex.org/W2014540231","https://openalex.org/W2017330738","https://openalex.org/W2020778725","https://openalex.org/W2056117586","https://openalex.org/W2068812287","https://openalex.org/W2071080293","https://openalex.org/W2143636474","https://openalex.org/W2149337551","https://openalex.org/W2347027361","https://openalex.org/W2574713814","https://openalex.org/W2604208206","https://openalex.org/W2606577669","https://openalex.org/W2897020875","https://openalex.org/W3146404850","https://openalex.org/W6600237248"],"related_works":["https://openalex.org/W2516546424","https://openalex.org/W2137256417","https://openalex.org/W4285084075","https://openalex.org/W4322208577","https://openalex.org/W2365680718","https://openalex.org/W4366608229","https://openalex.org/W4253015880","https://openalex.org/W4234586272","https://openalex.org/W3026737558","https://openalex.org/W143065237"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}
