{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T13:15:50Z","timestamp":1730294150786,"version":"3.28.0"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T00:00:00Z","timestamp":1639699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T00:00:00Z","timestamp":1639699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,17]]},"DOI":"10.1109\/safeprocess52771.2021.9693736","type":"proceedings-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T15:50:05Z","timestamp":1643730605000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["A remaining life prediction method based on semi-random filter considering model uncertainty"],"prefix":"10.1109","author":[{"given":"Zhu","family":"Xu","sequence":"first","affiliation":[{"name":"Rocket Force University of Engineering,Department of Missile Engineering,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Si","family":"Xiaosheng","sequence":"additional","affiliation":[{"name":"Rocket Force University of Engineering,Department of Missile Engineering,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mo","family":"Renpeng","sequence":"additional","affiliation":[{"name":"Rocket Force University of Engineering,Department of Missile Engineering,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hu","family":"Changhua","sequence":"additional","affiliation":[{"name":"Rocket Force University of Engineering,Department of Missile Engineering,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Tianmei","sequence":"additional","affiliation":[{"name":"Rocket Force University of Engineering,Department of Missile Engineering,Xi’an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1016\/j.ejor.2007.03.044","article-title":"An asset residual life prediction model based on expert judgments[J]","volume":"188","author":"wen-bin","year":"2008","journal-title":"European J Operational Research"},{"key":"ref3","first-page":"887","article-title":"A prognosis model for wear prediction based on oil-based monitoring[J]","volume":"58","author":"wen-bin","year":"2006","journal-title":"Journal of the Operational Research Society"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/imaman\/13.1.3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2010.2044607"},{"journal-title":"Probabilistic Models of Cumulative Damage","year":"1985","author":"bogdanoff","key":"ref11"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1057\/palgrave.jors.2602621","article-title":"Plant residual time modelling based on observed variables in oil samples[J]","volume":"60","author":"wen-bin","year":"2009","journal-title":"Journal of the Operational Research Society"},{"key":"ref8","first-page":"632","article-title":"The remaining life prediction method of gearbox based on kernel density estimation and random filtering theory[J]","volume":"26","author":"hui","year":"2020","journal-title":"Computer Integrated Manufacturing System"},{"key":"ref7","first-page":"555","article-title":"Online prediction of remaining life based on semi-random filtering-expectation maximization algorithm[J]","volume":"36","author":"lei","year":"2015","journal-title":"Acta Aeronautica etAstronautic Sinica"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.jors.2600863"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SAFEPROCESS45799.2019.9213433"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2010.11.018"}],"event":{"name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","start":{"date-parts":[[2021,12,17]]},"location":"Chengdu, China","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9693491\/9693537\/09693736.pdf?arnumber=9693736","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T16:22:18Z","timestamp":1654532538000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9693736\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,17]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/safeprocess52771.2021.9693736","relation":{},"subject":[],"published":{"date-parts":[[2021,12,17]]}}}