{"id":"https://openalex.org/W2097412031","doi":"https://doi.org/10.1109/tr.2014.2315956","title":"Degradation Modeling and Maintenance Decisions Based on Bayesian Belief Networks","display_name":"Degradation Modeling and Maintenance Decisions Based on Bayesian Belief Networks","publication_year":2014,"publication_date":"2014-04-15","ids":{"openalex":"https://openalex.org/W2097412031","doi":"https://doi.org/10.1109/tr.2014.2315956","mag":"2097412031"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2014.2315956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2014.2315956","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Transactions on Reliability","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/A5101411218","display_name":"Xinghui Zhang","orcid":"https://orcid.org/0000-0003-3961-8580"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xinghui Zhang","raw_affiliation_strings":["Mechanical Engineering College, Shijiazhuang, Hebei, China"],"affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Shijiazhuang, Hebei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067199691","display_name":"Jianshe Kang","orcid":"https://orcid.org/0000-0002-7969-2040"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianshe Kang","raw_affiliation_strings":["Mechanical Engineering College, Shijiazhuang, Hebei, China"],"affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Shijiazhuang, Hebei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012285299","display_name":"Tongdan Jin","orcid":"https://orcid.org/0000-0001-7845-9936"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tongdan Jin","raw_affiliation_strings":["Ingram School of Engineering, Texas State University, San Marcos, TX, USA","Ingram School of Engineering, Texas State University , San Marcos, TX, USA"],"affiliations":[{"raw_affiliation_string":"Ingram School of Engineering, Texas State University, San Marcos, TX, USA","institution_ids":["https://openalex.org/I13511017"]},{"raw_affiliation_string":"Ingram School of Engineering, Texas State University , San Marcos, TX, USA","institution_ids":["https://openalex.org/I13511017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101411218"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.2259,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.99066747,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"63","issue":"2","first_page":"620","last_page":"633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9976999759674072,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.593917727470398},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5907077193260193},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5547444224357605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.528745174407959},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5284086465835571},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5150535106658936},{"id":"https://openalex.org/keywords/condition-based-maintenance","display_name":"Condition-based maintenance","score":0.47509968280792236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4592592120170593},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.45097607374191284},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4227710962295532},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4153830409049988},{"id":"https://openalex.org/keywords/reliability-theory","display_name":"Reliability theory","score":0.4129411578178406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35036516189575195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3338509798049927},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26571130752563477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2224118709564209},{"id":"https://openalex.org/keywords/failure-rate","display_name":"Failure rate","score":0.09350946545600891}],"concepts":[{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.593917727470398},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5907077193260193},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5547444224357605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.528745174407959},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5284086465835571},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5150535106658936},{"id":"https://openalex.org/C2776907094","wikidata":"https://www.wikidata.org/wiki/Q1043452","display_name":"Condition-based maintenance","level":2,"score":0.47509968280792236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4592592120170593},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.45097607374191284},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4227710962295532},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4153830409049988},{"id":"https://openalex.org/C201729545","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability theory","level":3,"score":0.4129411578178406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35036516189575195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3338509798049927},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26571130752563477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2224118709564209},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.09350946545600891},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2014.2315956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2014.2315956","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5099999904632568,"display_name":"Responsible consumption and production"},{"id":"https://metadata.un.org/sdg/15","score":0.41999998688697815,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1963957210","https://openalex.org/W1967103180","https://openalex.org/W1972430156","https://openalex.org/W1974543974","https://openalex.org/W1975174792","https://openalex.org/W1987728873","https://openalex.org/W1989618028","https://openalex.org/W1992113394","https://openalex.org/W1996747841","https://openalex.org/W2000743683","https://openalex.org/W2008606444","https://openalex.org/W2025242337","https://openalex.org/W2026087586","https://openalex.org/W2030166992","https://openalex.org/W2051295601","https://openalex.org/W2051406062","https://openalex.org/W2080202623","https://openalex.org/W2084885766","https://openalex.org/W2096947102","https://openalex.org/W2113076747","https://openalex.org/W2119436251","https://openalex.org/W2125838338","https://openalex.org/W2131239194","https://openalex.org/W2135479611","https://openalex.org/W2136774956","https://openalex.org/W2141758575","https://openalex.org/W2146465930","https://openalex.org/W2152270473","https://openalex.org/W4239218596","https://openalex.org/W4249919990"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158","https://openalex.org/W3049691116","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W3081214562","https://openalex.org/W2753713401","https://openalex.org/W2053745677"],"abstract_inverted_index":{"A":[0],"variety":[1],"of":[2,34,63,117],"data-driven":[3],"models":[4,18],"focused":[5],"on":[6,54],"remaining":[7,51,73],"lifetime":[8,52],"prediction":[9],"have":[10],"been":[11],"developed":[12],"under":[13,111],"condition-based":[14],"monitoring":[15],"framework.":[16],"These":[17],"either":[19],"assume":[20],"an":[21,44,81],"analytical":[22],"formula":[23],"for":[24],"the":[25,32,87,92,96,101,107,118,136],"underlying":[26],"degradation":[27,35,66,69,138],"path":[28],"is":[29,121],"known,":[30],"or":[31],"number":[33],"states":[36],"could":[37],"be":[38],"determined":[39],"subjectively.":[40],"This":[41],"paper":[42],"proposes":[43],"adaptive":[45],"discrete-state":[46],"model":[47,61,94,120,139],"to":[48,85,99],"estimate":[49],"system":[50],"based":[53],"Bayesian":[55,137],"Belief":[56],"Network":[57],"(BBN)":[58],"theory.":[59],"The":[60,115],"consists":[62],"three":[64],"steps:":[65],"state":[67,70,103,108],"identification,":[68],"characterization,":[71],"and":[72,123,127,148],"life":[74,130],"prediction.":[75],"Our":[76],"approach":[77],"does":[78],"not":[79],"require":[80],"explicit":[82],"distribution":[83],"function":[84],"characterize":[86],"fault":[88],"evolutionary":[89],"process.":[90],"Because":[91],"BBN":[93,119],"leverages":[95],"validity":[97],"measures":[98],"determine":[100],"optimum":[102],"number,":[104],"it":[105],"avoids":[106],"identification":[109],"errors":[110],"limited":[112],"feature":[113],"data.":[114,131],"performance":[116],"validated":[122],"verified":[124],"by":[125],"actual":[126],"simulated":[128],"bearing":[129],"Numerical":[132],"examples":[133],"show":[134],"that":[135],"outperforms":[140],"a":[141],"time-based":[142],"maintenance":[143],"policy":[144],"both":[145],"in":[146],"cost":[147],"reliability.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
