{"id":"https://openalex.org/W4403391426","doi":"https://doi.org/10.1109/tr.2024.3471796","title":"Exploring Initiation-Growth Correlation in Accelerated Degradation Testing Data: Both Classical and Bayesian Approaches","display_name":"Exploring Initiation-Growth Correlation in Accelerated Degradation Testing Data: Both Classical and Bayesian Approaches","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4403391426","doi":"https://doi.org/10.1109/tr.2024.3471796"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2024.3471796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2024.3471796","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/A5015177864","display_name":"Guanqi Fang","orcid":"https://orcid.org/0000-0002-3520-2986"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanqi Fang","raw_affiliation_strings":["Collaborative Innovation Center of Statistical Data Engineering Technology &amp; Application as well as School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3520-2986","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Statistical Data Engineering Technology &amp; Application as well as School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075012459","display_name":"Rong Pan","orcid":"https://orcid.org/0000-0001-5171-8248"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Pan","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0001-5171-8248","affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036813984","display_name":"Yizi Wang","orcid":"https://orcid.org/0000-0002-8692-9018"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizi Wang","raw_affiliation_strings":["Collaborative Innovation Center of Statistical Data Engineering Technology &amp; Application as well as School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Statistical Data Engineering Technology &amp; Application as well as School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059723326","display_name":"Hongchang He","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haili He","raw_affiliation_strings":["Collaborative Innovation Center of Statistical Data Engineering Technology &amp; Application as well as School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Statistical Data Engineering Technology &amp; Application as well as School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100871639","display_name":"Weiqin Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqin Yu","raw_affiliation_strings":["Collaborative Innovation Center of Statistical Data Engineering Technology &amp; Application as well as School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Statistical Data Engineering Technology &amp; Application as well as School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2946,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56958944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"74","issue":"3","first_page":"4348","last_page":"4360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9911999702453613,"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":0.9911999702453613,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9383999705314636,"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":0.9244999885559082,"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-probability","display_name":"Bayesian probability","score":0.6059709787368774},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4948553442955017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48407021164894104},{"id":"https://openalex.org/keywords/accelerated-life-testing","display_name":"Accelerated life testing","score":0.4683137834072113},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.44634294509887695},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.4113616347312927},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3887655735015869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2866516709327698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22148123383522034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20058810710906982},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.1415802538394928}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6059709787368774},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4948553442955017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48407021164894104},{"id":"https://openalex.org/C158379689","wikidata":"https://www.wikidata.org/wiki/Q3533504","display_name":"Accelerated life testing","level":3,"score":0.4683137834072113},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.44634294509887695},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.4113616347312927},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3887655735015869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2866516709327698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22148123383522034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20058810710906982},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.1415802538394928},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2024.3471796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2024.3471796","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":[],"awards":[{"id":"https://openalex.org/G5360895646","display_name":null,"funder_award_id":"72201242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6255930782","display_name":null,"funder_award_id":"XT202208","funder_id":"https://openalex.org/F4554350417","funder_display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang"},{"id":"https://openalex.org/G7067610077","display_name":"FMRG: Cyber: Cyber-Coordinated Analytical Framework for Multi-stage Distributed Future Manufacturing Systems","funder_award_id":"2134409","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4554350417","display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W75581641","https://openalex.org/W563532928","https://openalex.org/W1485555218","https://openalex.org/W1536497620","https://openalex.org/W1585926113","https://openalex.org/W1689133400","https://openalex.org/W1974635664","https://openalex.org/W1975174792","https://openalex.org/W1998549657","https://openalex.org/W2043129860","https://openalex.org/W2058454360","https://openalex.org/W2078095746","https://openalex.org/W2087509683","https://openalex.org/W2087858557","https://openalex.org/W2099063081","https://openalex.org/W2112935810","https://openalex.org/W2160118356","https://openalex.org/W2466195431","https://openalex.org/W2530192738","https://openalex.org/W2751935087","https://openalex.org/W2809685522","https://openalex.org/W2866389524","https://openalex.org/W2906262533","https://openalex.org/W2912720562","https://openalex.org/W2931372420","https://openalex.org/W2982214180","https://openalex.org/W3090681097","https://openalex.org/W3180267838","https://openalex.org/W3209366111","https://openalex.org/W4226321852","https://openalex.org/W4239218596","https://openalex.org/W4242686470","https://openalex.org/W4285309032","https://openalex.org/W4313815915","https://openalex.org/W4320879787","https://openalex.org/W4323266289","https://openalex.org/W4385272694","https://openalex.org/W4385417137","https://openalex.org/W4387119980","https://openalex.org/W4387449035","https://openalex.org/W4388676258","https://openalex.org/W4388692662","https://openalex.org/W4388937537"],"related_works":["https://openalex.org/W2018620709","https://openalex.org/W1815542355","https://openalex.org/W2152540334","https://openalex.org/W4289655666","https://openalex.org/W4245263277","https://openalex.org/W2040660792","https://openalex.org/W2012507032","https://openalex.org/W2357275689","https://openalex.org/W2388009487","https://openalex.org/W2566664988"],"abstract_inverted_index":{"For":[0],"many":[1,41],"industrial":[2],"products,":[3],"accelerated":[4],"degradation":[5,56],"tests":[6],"(ADTs)":[7],"serve":[8],"as":[9,32,34],"an":[10,58],"efficient":[11],"approach":[12,112],"to":[13,45,102,109,118,121],"their":[14,128],"reliability":[15],"prediction.":[16],"Modeling":[17],"and":[18,55,90,132],"analyzing":[19],"the":[20,25,51,104,110,137,141],"ADT":[21,88],"data":[22],"involves":[23],"assessing":[24],"accelerating":[26],"effect":[27],"brought":[28],"by":[29,71],"stress":[30],"variables,":[31],"well":[33],"accounting":[35],"for":[36,85],"multiple":[37],"variation":[38],"sources.":[39],"In":[40],"situations,":[42],"in":[43,49],"addition":[44],"unit-to-unit":[46],"variabilities":[47],"seen":[48],"both":[50],"initial":[52],"performance":[53,139],"levels":[54],"rates,":[57],"intriguing":[59],"observation":[60],"is":[61,100,116],"that":[62],"these":[63],"two":[64],"factors":[65],"exhibit":[66],"a":[67,72,81,93,133],"strong":[68],"correlation.":[69],"Motivated":[70],"real":[73],"application":[74,135],"of":[75,140],"optical":[76],"media,":[77],"this":[78],"article":[79],"proposes":[80],"general":[82],"Wiener":[83],"process":[84],"modeling":[86],"such":[87],"data,":[89],"it":[91],"provides":[92],"closed-form":[94],"lifetime":[95],"distribution.":[96],"An":[97,107],"expectation-maximization":[98],"algorithm":[99],"developed":[101],"infer":[103],"unknown":[105],"parameters.":[106],"extension":[108],"Bayesian":[111],"under":[113],"Stan":[114],"framework":[115],"made":[117],"enable":[119],"practitioners":[120],"seamlessly":[122],"incorporate":[123],"prior":[124],"domain":[125],"knowledge":[126],"into":[127],"analysis.":[129],"Simulation":[130],"studies":[131],"case":[134],"demonstrate":[136],"good":[138],"proposed":[142],"methodology.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
