{"id":"https://openalex.org/W3034192853","doi":"https://doi.org/10.1109/jsyst.2020.2991161","title":"BRB Prediction With Customized Attributes Weights and Tradeoff Analysis for Concurrent Fault Diagnosis","display_name":"BRB Prediction With Customized Attributes Weights and Tradeoff Analysis for Concurrent Fault Diagnosis","publication_year":2020,"publication_date":"2020-06-12","ids":{"openalex":"https://openalex.org/W3034192853","doi":"https://doi.org/10.1109/jsyst.2020.2991161","mag":"3034192853"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2020.2991161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.2991161","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","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/A5027785791","display_name":"Leilei Chang","orcid":"https://orcid.org/0000-0002-0126-0635"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leilei Chang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678462","display_name":"Xiaojian Xu","orcid":"https://orcid.org/0000-0003-3179-1864"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaojian Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038197310","display_name":"Zhunga Liu","orcid":"https://orcid.org/0000-0001-7144-7449"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhun-ga Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015115331","display_name":"Bin Qian","orcid":"https://orcid.org/0000-0002-0048-1487"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074117281","display_name":"Xiaobin Xu","orcid":"https://orcid.org/0000-0003-1822-6190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaobin Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002816626","display_name":"Yu\u2010Wang Chen","orcid":"https://orcid.org/0000-0002-2007-1821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu-Wang Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3311,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90868812,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"15","issue":"1","first_page":"1179","last_page":"1190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10260","display_name":"Software Engineering Research","score":0.963699996471405,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9545999765396118,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6567081212997437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490405201911926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6032235622406006},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5498238205909729},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5162898898124695},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5069890022277832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4733600318431854},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4347284436225891},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4004555642604828},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12459099292755127}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6567081212997437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490405201911926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6032235622406006},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5498238205909729},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5162898898124695},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5069890022277832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4733600318431854},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4347284436225891},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4004555642604828},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12459099292755127},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2020.2991161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.2991161","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G1413719573","display_name":"\u57fa\u4e8e\u7f6e\u4fe1\u89c4\u5219\u5e93\u6700\u4f18\u51b3\u7b56\u7ed3\u6784\u7684\u88c5\u5907\u4f53\u7cfb\u4fdd\u969c\u6027\u8bc4\u4f30\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71601180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2510223508","display_name":null,"funder_award_id":"U1709215","funder_id":"https://openalex.org/F4320334064","funder_display_name":"National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization"},{"id":"https://openalex.org/G6599022916","display_name":null,"funder_award_id":"2017YFB120700","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"},{"id":"https://openalex.org/G7234577673","display_name":null,"funder_award_id":"61672431","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8850334182","display_name":null,"funder_award_id":"61903108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8915665266","display_name":"\u591a\u7ef4\u6982\u7387\u6a21\u578b\u8fdb\u5316\u7b97\u6cd5\u6c42\u89e3\u4f4e\u78b3\u8f66\u8f86\u914d\u9001\u95ee\u9898\u7814\u7a76","funder_award_id":"61963022","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"},{"id":"https://openalex.org/F4320334064","display_name":"National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization","ror":null},{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W1578800471","https://openalex.org/W1967526040","https://openalex.org/W2004039783","https://openalex.org/W2009528637","https://openalex.org/W2020430012","https://openalex.org/W2025393136","https://openalex.org/W2043039095","https://openalex.org/W2049633694","https://openalex.org/W2055762293","https://openalex.org/W2114541394","https://openalex.org/W2127582700","https://openalex.org/W2134543455","https://openalex.org/W2140364226","https://openalex.org/W2156133368","https://openalex.org/W2200383562","https://openalex.org/W2263289545","https://openalex.org/W2487437301","https://openalex.org/W2555986604","https://openalex.org/W2574700614","https://openalex.org/W2580109512","https://openalex.org/W2596315779","https://openalex.org/W2598038731","https://openalex.org/W2609409128","https://openalex.org/W2623978803","https://openalex.org/W2709480298","https://openalex.org/W2766232596","https://openalex.org/W2766607703","https://openalex.org/W2805549624","https://openalex.org/W2898722180","https://openalex.org/W2904284137","https://openalex.org/W2912565176","https://openalex.org/W2914361316","https://openalex.org/W2916612751","https://openalex.org/W2946021995","https://openalex.org/W2973774984","https://openalex.org/W3005538075","https://openalex.org/W4211007335","https://openalex.org/W4285719527","https://openalex.org/W6664070810"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2276587472","https://openalex.org/W2615795876","https://openalex.org/W2049612369","https://openalex.org/W2770872919","https://openalex.org/W4214571255"],"abstract_inverted_index":{"Comprised":[0],"of":[1,24],"multiple":[2,235],"belief":[3,13],"rules":[4,61],"that":[5],"are":[6,45,88],"close":[7],"to":[8,20,96,100,242],"human":[9],"knowledge":[10,33],"representation,":[11],"the":[12,18,41,50,59,63,82,85,116,140,147,152,161,165,200,206,225,231],"rule":[14],"base":[15],"(BRB)":[16],"has":[17,212],"ability":[19],"make":[21],"full":[22],"use":[23],"both":[25,188],"data":[26],"obtained":[27],"from":[28],"historic":[29],"records":[30],"and":[31,53,56,105,168,190,219,223],"experts\u2019":[32],"under":[34],"uncertainty.":[35],"When":[36],"applied":[37],"in":[38],"fault":[39,79,104,175],"diagnosis,":[40],"final":[42],"diagnostic":[43],"results":[44,184],"inferred":[46],"by":[47,114,199],"first":[48],"activating":[49],"matching":[51],"degrees":[52],"activation":[54],"weights,":[55],"then":[57],"integrating":[58],"activated":[60],"with":[62,92,124,146,157,196,208,217,234],"evidential":[64],"reasoning":[65],"algorithm.":[66],"In":[67,81],"this":[68],"study,":[69],"a":[70,101,109,128,244],"novel":[71],"BRB":[72,202,227],"prediction":[73,141,203,228],"approach":[74,145,229,233],"is":[75,112,155,178],"proposed":[76,83,201],"for":[77,118,180],"concurrent":[78,135,169,191],"diagnosis.":[80],"approach,":[84],"indicative":[86,166],"factors":[87,167],"modeled":[89],"as":[90,134,151,237,239],"attributes":[91,210],"customized":[93],"attribute":[94,221],"weights":[95,211],"represent":[97],"their":[98],"relevance":[99],"known":[102],"system":[103],"vice":[106],"versa.":[107],"Second,":[108],"tradeoff":[110],"analysis":[111],"conducted":[113],"comparing":[115],"beliefs":[117,126],"different":[119],"faults.":[120,136,170],"The":[121],"diagnosed":[122,195],"faults":[123,192],"bigger":[125],"within":[127],"predetermined":[129],"valve":[130],"would":[131],"be":[132,194],"considered":[133],"To":[137],"further":[138],"improve":[139],"accuracy,":[142],"an":[143],"optimization":[144,153],"differential":[148],"evolutionary":[149],"algorithm":[150],"engine":[154,174],"designed":[156],"model":[158],"constraints":[159],"reflecting":[160],"complex":[162],"correlations":[163],"between":[164],"A":[171],"marine":[172],"diesel":[173],"diagnosis":[176],"case":[177],"studied":[179],"validation.":[181],"Case":[182],"study":[183],"show":[185],"that:":[186],"first,":[187],"single":[189],"can":[193],"high":[197],"accuracy":[198],"approach;":[204],"second,":[205],"BRBs":[207],"optimized":[209],"shown":[213],"superior":[214],"performance":[215],"than":[216],"equal":[218],"fixed":[220],"weights;":[222],"third,":[224],"new":[226],"outperforms":[230],"previous":[232],"sub-BRBs":[236],"well":[238],"other":[240],"approaches":[241],"achieve":[243],"higher":[245],"modeling":[246],"accuracy.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}