{"id":"https://openalex.org/W2536364005","doi":"https://doi.org/10.1080/16843703.2016.1226593","title":"Real-time reliability evaluation based on independent increment process with random effect","display_name":"Real-time reliability evaluation based on independent increment process with random effect","publication_year":2016,"publication_date":"2016-09-06","ids":{"openalex":"https://openalex.org/W2536364005","doi":"https://doi.org/10.1080/16843703.2016.1226593","mag":"2536364005"},"language":"en","primary_location":{"id":"doi:10.1080/16843703.2016.1226593","doi":"https://doi.org/10.1080/16843703.2016.1226593","is_oa":false,"landing_page_url":"https://doi.org/10.1080/16843703.2016.1226593","pdf_url":null,"source":{"id":"https://openalex.org/S2475542964","display_name":"Quality Technology & Quantitative Management","issn_l":"1684-3703","issn":["1684-3703","1811-4857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quality Technology & Quantitative Management","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5039884946","display_name":"Huibing Hao","orcid":"https://orcid.org/0000-0001-5682-834X","observed_orcids":["https://orcid.org/0000-0001-5682-834X"]},"institutions":[{"id":"https://openalex.org/I4210154338","display_name":"Hubei Engineering University","ror":"https://ror.org/05amnwk22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210154338"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huibing Hao","raw_affiliation_strings":["Department of Mathematics, Hubei Engineering University, Xiaogan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hubei Engineering University, Xiaogan, China","institution_ids":["https://openalex.org/I4210154338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010263936","display_name":"Chun Su","orcid":"https://orcid.org/0000-0002-5523-1469","observed_orcids":["https://orcid.org/0000-0002-5523-1469"]},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun Su","raw_affiliation_strings":["Department of Industrial Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687720","display_name":"Chunping Li","orcid":"https://orcid.org/0000-0002-9126-4225","observed_orcids":["https://orcid.org/0000-0002-9126-4225"]},"institutions":[{"id":"https://openalex.org/I4210154338","display_name":"Hubei Engineering University","ror":"https://ror.org/05amnwk22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210154338"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunping Li","raw_affiliation_strings":["Department of Mathematics, Hubei Engineering University, Xiaogan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hubei Engineering University, Xiaogan, China","institution_ids":["https://openalex.org/I4210154338"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010263936"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.5027,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7201667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"14","issue":"3","first_page":"325","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9990000128746033,"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":0.9990000128746033,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.00019999999494757503,"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-modeling","display_name":"degradation modeling","score":0.7940000295639038},{"id":"https://openalex.org/keywords/bayesian-updating","display_name":"Bayesian updating","score":0.6430000066757202},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo-parameter-estimation","display_name":"Markov chain Monte Carlo parameter estimation","score":0.7820000052452087}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7380431890487671},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.607525110244751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5765454769134521},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5311687588691711},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5201704502105713},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.4983689785003662},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47630488872528076},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4628011882305145},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42606037855148315},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.41716668009757996},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3854677677154541},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3531244993209839},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2712942957878113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2563742995262146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1581915020942688},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12019938230514526},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/16843703.2016.1226593","doi":"https://doi.org/10.1080/16843703.2016.1226593","is_oa":false,"landing_page_url":"https://doi.org/10.1080/16843703.2016.1226593","pdf_url":null,"source":{"id":"https://openalex.org/S2475542964","display_name":"Quality Technology & Quantitative Management","issn_l":"1684-3703","issn":["1684-3703","1811-4857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quality Technology & Quantitative Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1481198920","https://openalex.org/W1872490235","https://openalex.org/W1907428585","https://openalex.org/W1924493712","https://openalex.org/W1964039725","https://openalex.org/W1969607436","https://openalex.org/W1975174792","https://openalex.org/W1987464286","https://openalex.org/W1988286714","https://openalex.org/W1995373625","https://openalex.org/W1996593110","https://openalex.org/W2002327428","https://openalex.org/W2005683107","https://openalex.org/W2025488804","https://openalex.org/W2048082785","https://openalex.org/W2051406062","https://openalex.org/W2053898091","https://openalex.org/W2090749763","https://openalex.org/W2091608060","https://openalex.org/W2106675691","https://openalex.org/W2108898839","https://openalex.org/W2124367922","https://openalex.org/W2126445794","https://openalex.org/W2145341463","https://openalex.org/W2147664181","https://openalex.org/W2154582503","https://openalex.org/W2155994276","https://openalex.org/W2795854098","https://openalex.org/W4213251304","https://openalex.org/W4234132573","https://openalex.org/W4234975294","https://openalex.org/W4240395397","https://openalex.org/W4245521939","https://openalex.org/W4247609441","https://openalex.org/W4252108370","https://openalex.org/W4289257608"],"related_works":["https://openalex.org/W2090922313","https://openalex.org/W2990346161","https://openalex.org/W2580308641","https://openalex.org/W2029709134","https://openalex.org/W1486253153","https://openalex.org/W2116613479","https://openalex.org/W2376772745","https://openalex.org/W1924493712","https://openalex.org/W2378762887","https://openalex.org/W2786705441"],"abstract_inverted_index":{"Degradation":[0],"data":[1,155],"provide":[2],"useful":[3],"information":[4,65],"about":[5,153],"the":[6,43,92,103,113,125,140,145],"reliability":[7,51,111,132],"assessment":[8,52],"for":[9],"highly":[10],"reliable":[11],"and":[12,35,47,55,66,91,129,142,148],"long":[13],"lifetime":[14],"products.":[15],"Motivated":[16],"by":[17,76],"laser":[18,154],"degradation":[19,23,30,45,64,68,72],"data,":[20],"a":[21,56,77,150],"new":[22],"modelling":[24,46],"approach":[25],"is":[26,59,74,99,156],"proposed,":[27],"in":[28],"which":[29],"path":[31,73],"has":[32],"linear":[33,36],"mean":[34],"standard":[37],"deviation":[38],"functions.":[39],"In":[40],"this":[41],"article,":[42],"population":[44,63,71],"individual":[48,67,108,130],"real":[49,109],"time":[50,110],"are":[53,115,134],"discussed,":[54],"Bayesian":[57,119],"framework":[58],"proposed":[60,146],"to":[61,88,101],"integrate":[62],"data.":[69],"The":[70],"characterized":[75],"random":[78,84],"effect":[79,85],"independent":[80],"increment":[81],"process":[82],"where":[83],"captures":[86],"unit":[87,89],"variation,":[90],"Markov":[93],"Chain":[94],"Monte":[95],"Carlo":[96],"(MCMC)":[97],"method":[98],"used":[100],"estimate":[102],"unknown":[104],"parameters.":[105],"To":[106],"obtain":[107],"assessment,":[112],"parameters":[114],"updated":[116,123],"iteratively":[117],"using":[118],"theory.":[120],"Based":[121],"on":[122],"results,":[124],"residual":[126],"use":[127],"life":[128],"real-time":[131],"evaluation":[133],"obtained.":[135],"For":[136],"an":[137],"illustration":[138],"of":[139,144],"usefulness":[141],"validity":[143],"model":[147],"method,":[149],"numerical":[151],"example":[152],"given.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-31T07:19:18.363097","created_date":"2016-10-28T00:00:00"}