{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T03:26:20Z","timestamp":1768533980713,"version":"3.49.0"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/100007900","name":"University of Central Florida","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007900","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering &amp; System Safety"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1016\/j.ress.2020.107225","type":"journal-article","created":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T23:26:29Z","timestamp":1600385189000},"page":"107225","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"special_numbering":"C","title":["Early life failures and services of industrial asset fleets"],"prefix":"10.1016","volume":"205","author":[{"given":"Arinan","family":"Dourado","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felipe A.C.","family":"Viana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.ress.2020.107225_bib0001","unstructured":"\u201cNTSB Report AAB-13-02\u201d, National Transportation Safety Board, link: https:\/\/2.zoppoz.workers.dev:443\/https\/www.ntsb.gov\/investigations\/AccidentReports\/Reports\/AAB1302.pdf."},{"issue":"4","key":"10.1016\/j.ress.2020.107225_bib0002","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1109\/24.814520","article-title":"A failure-time model for infant-mortality and wearout failure modes","volume":"48","author":"Chan","year":"1999","journal-title":"IEEE Trans Reliab"},{"issue":"5","key":"10.1016\/j.ress.2020.107225_bib0003","first-page":"549","article-title":"Skipping unnecessary structural airframe maintenance using on-board structural health monitoring system","volume":"226","author":"Pattabhiraman","year":"2012","journal-title":"J Risk Reliab"},{"key":"10.1016\/j.ress.2020.107225_bib0004","doi-asserted-by":"crossref","DOI":"10.2514\/6.2017-1565","article-title":"Information gain-based inspection scheduling for fatigued aircraft components","author":"Ling","year":"2017","journal-title":"19th AIAA Non-Deterministic Approaches Conference, Grapevine, USA"},{"key":"10.1016\/j.ress.2020.107225_bib0005","series-title":"Using real options to manage condition-based maintenance enabled by PHM","author":"Haddad","year":"2011"},{"issue":"4","key":"10.1016\/j.ress.2020.107225_bib0006","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1109\/TR.2012.2220699","article-title":"An options approach for decision support of systems with prognostic capabilities","volume":"61","author":"Haddad","year":"2012","journal-title":"IEEE Trans Reliab"},{"issue":"7","key":"10.1016\/j.ress.2020.107225_bib0007","doi-asserted-by":"crossref","first-page":"1483","DOI":"10.1016\/j.ymssp.2005.09.012","article-title":"A review on machinery diagnostics and prognostics implementing condition-based maintenance","volume":"20","author":"Jardine","year":"2006","journal-title":"Mech Syst Sign Process"},{"issue":"2","key":"10.1016\/j.ress.2020.107225_bib0008","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/S0951-8320(01)00148-X","article-title":"D. L., \"A condition-based maintenance policy for stochastically deteriorating systems","volume":"76","author":"Grall","year":"2002","journal-title":"Reliab Eng Syst Safe"},{"key":"10.1016\/j.ress.2020.107225_bib0009","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.ress.2016.08.009","article-title":"A review on condition-based maintenance optimization models for stochastically deteriorating system","volume":"157","author":"Alaswad","year":"2017","journal-title":"Reliab Eng Syst Safe"},{"issue":"10","key":"10.1016\/j.ress.2020.107225_bib0010","doi-asserted-by":"crossref","first-page":"3480","DOI":"10.1109\/TIM.2009.2036347","article-title":"State-of-the-art predictive maintenance techniques","volume":"60","author":"Hashemian","year":"2011","journal-title":"IEEE Trans Instrument Measur"},{"key":"10.1016\/j.ress.2020.107225_bib0011","first-page":"23","article-title":"Predictive maintenance for aircraft components using proportional hazard models","volume":"12","author":"Verhagen","year":"2018","journal-title":"J Indust Inform Integrat"},{"key":"10.1016\/j.ress.2020.107225_bib0012","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.cie.2017.10.033","article-title":"Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling","volume":"115","author":"Baptista","year":"2018","journal-title":"Comp Indust Eng"},{"key":"10.1016\/j.ress.2020.107225_bib0013","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.renene.2017.03.053","article-title":"Maintenance scheduling based on remaining useful life predictions for wind farms managed using power purchase agreements","volume":"116","author":"Lei","year":"2018","journal-title":"Renew Energy"},{"key":"10.1016\/j.ress.2020.107225_bib0014","series-title":"Probabilistic models of cumulative damage","author":"Bogdanoff","year":"1985"},{"key":"10.1016\/j.ress.2020.107225_bib0015","article-title":"Probabilistic aspects of life prediction","author":"Johnson","year":"2004","journal-title":"ASTM Int"},{"key":"10.1016\/j.ress.2020.107225_bib0016","article-title":"Reliability engineering","author":"Kapur","year":"2014","journal-title":"John Wiley & Sons"},{"key":"10.1016\/j.ress.2020.107225_bib0017","article-title":"System reliability theory: models, statistical methods, and applications","author":"Rausand","year":"2004","journal-title":"John Wiley & Sons"},{"issue":"7","key":"10.1016\/j.ress.2020.107225_bib0018","doi-asserted-by":"crossref","first-page":"1751","DOI":"10.1016\/j.engappai.2013.02.006","article-title":"Remaining useful life estimation based on nonlinear feature reduction and support vector regression","volume":"26","author":"Benkedjouh","year":"2013","journal-title":"Eng Appl Artif Intell"},{"key":"10.1016\/j.ress.2020.107225_bib0019","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.ymssp.2012.02.015","article-title":"Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine","volume":"32","author":"Tran","year":"2012","journal-title":"Mech Syst Sign Process"},{"key":"10.1016\/j.ress.2020.107225_bib0020","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.microrel.2018.04.007","article-title":"A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries","volume":"85","author":"Zhao","year":"2018","journal-title":"Microelectron Reliab"},{"key":"10.1016\/j.ress.2020.107225_bib0021","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.jclepro.2018.12.041","article-title":"Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batteries","volume":"212","author":"Zhang","year":"2019","journal-title":"J Clean Prod"},{"key":"10.1016\/j.ress.2020.107225_bib0022","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.ymssp.2013.07.010","article-title":"Ensemble neural-network based particle filtering for prognosis","volume":"41","author":"Baraldi","year":"2013","journal-title":"Mech Syst Sign Process"},{"key":"10.1016\/j.ress.2020.107225_bib0023","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.ress.2017.02.007","article-title":"Remaining useful life prediction of aircraft engine based on degradation pattern learning","volume":"164","author":"Zhao","year":"2017","journal-title":"Reliab Eng Syst Safe"},{"key":"10.1016\/j.ress.2020.107225_bib0024","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ress.2017.11.021","article-title":"Remaining useful life estimation in prognosis using deep convolution neural networks","volume":"172","author":"Li","year":"2018","journal-title":"Reliab Eng Syst Safe"},{"key":"10.1016\/j.ress.2020.107225_bib0025","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.ress.2018.05.016","article-title":"Monitoring and learning algorithms for dynamic hybrid Bayesian network inon-line system health management applications","volume":"178","author":"Iamsumang","year":"2018","journal-title":"Reliab Eng Syst Safe"},{"issue":"3","key":"10.1016\/j.ress.2020.107225_bib0026","doi-asserted-by":"crossref","first-page":"930","DOI":"10.2514\/1.J055201","article-title":"Dynamic Bayesian network for aircraft wing health monitoring digital twin","volume":"55","author":"Li","year":"2017","journal-title":"AIAA J"},{"key":"10.1016\/j.ress.2020.107225_bib0027","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.probengmech.2013.01.003","article-title":"Model-based and data-driven prognostics under different available information","volume":"32","author":"Baraldi","year":"2013","journal-title":"Prob Eng Mech"},{"key":"10.1016\/j.ress.2020.107225_bib0028","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.ress.2014.09.014","article-title":"Practical options for selecting data-driven or physics-based prognostics algorithms with reviews","volume":"133","author":"Dawn","year":"2015","journal-title":"Reliab Eng Syst Safe"},{"issue":"3","key":"10.1016\/j.ress.2020.107225_bib0029","doi-asserted-by":"crossref","DOI":"10.4271\/2013-01-1384","article-title":"Reliability-based design optimization with model bias and data uncertainty","volume":"6","author":"Jiang","year":"2013","journal-title":"SAE Int J Mater Manuf"},{"issue":"3","key":"10.1016\/j.ress.2020.107225_bib0030","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1137\/16M1082469","article-title":"Survey of multifidelity methods in uncertainty propagation, inference, and optimization","volume":"60","author":"Peherstorfer","year":"2018","journal-title":"SIAM Rev"},{"key":"10.1016\/j.ress.2020.107225_bib0031","series-title":"Calibrating an equivalent initial flaw size distribution from da\/dN and S-N data","author":"Asher","year":"2017"},{"issue":"12","key":"10.1016\/j.ress.2020.107225_bib0032","doi-asserted-by":"crossref","first-page":"2818","DOI":"10.2514\/1.J051268","article-title":"Uncertainty identification of damage growth parameters using nonlinear regression","volume":"49","author":"Coppe","year":"2011","journal-title":"AIAA J"},{"key":"10.1016\/j.ress.2020.107225_bib0033","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.ress.2016.07.019","article-title":"Remaining useful life estimation in heterogeneous fleets working under variable operating conditions","volume":"156","author":"Al-Dahidi","year":"2016","journal-title":"Reliab Eng Syst Safe"},{"key":"10.1016\/j.ress.2020.107225_bib0034","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.knosys.2013.12.020","article-title":"Predictive diagnosis based on a fleet-wide ontology approach","volume":"68","author":"Medina-Oliva","year":"2014","journal-title":"Knowl-Base Syst"},{"key":"10.1016\/j.ress.2020.107225_bib0035","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.ress.2014.10.017","article-title":"Evaluation and comparison of alternative fleet-level selective maintenance models","volume":"134","author":"Schneider","year":"2015","journal-title":"Reliab Eng Syst Safe"},{"key":"10.1016\/j.ress.2020.107225_bib0036","article-title":"MMPDS-12: Metallic Materials Properties Development and Standardization, Federal Aviation Administration","author":"collaborators","year":"2017","journal-title":"Battelle Memor Inst"},{"key":"10.1016\/j.ress.2020.107225_bib0037","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1016\/j.ijfatigue.2005.03.001","article-title":"Statistical distributions and fatigue of structures","volume":"27","author":"Schijve","year":"2005","journal-title":"Int J Fatigue"},{"key":"10.1016\/j.ress.2020.107225_bib0038","article-title":"Probabilistic modeling of fatigue damage accumulation for reliability predicition","author":"Rathod","year":"2011","journal-title":"Int J Qual Stat Reliab"},{"issue":"2","key":"10.1016\/j.ress.2020.107225_bib0039","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1214\/ss\/1009213286","article-title":"Interval estimation for a binomial proportion","volume":"16","author":"Brown","year":"2001","journal-title":"Stat Sci"},{"key":"10.1016\/j.ress.2020.107225_bib0040","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/978-94-017-2764-8_2","article-title":"\u2018Probabilistic damage tolerance analysis of aircraft structures","author":"Palmberg","year":"1987","journal-title":"Prob Fract Mech Reliab"}],"container-title":["Reliability Engineering &amp; System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0951832020307262?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0951832020307262?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:24:22Z","timestamp":1760595862000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/linkinghub.elsevier.com\/retrieve\/pii\/S0951832020307262"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":40,"alternative-id":["S0951832020307262"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.ress.2020.107225","relation":{},"ISSN":["0951-8320"],"issn-type":[{"value":"0951-8320","type":"print"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Early life failures and services of industrial asset fleets","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.ress.2020.107225","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107225"}}