{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:16:33Z","timestamp":1771467393201,"version":"3.50.1"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"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":[[2021,6,7]]},"DOI":"10.1109\/icphm51084.2021.9486500","type":"proceedings-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T20:36:08Z","timestamp":1626813368000},"page":"1-10","source":"Crossref","is-referenced-by-count":11,"title":["Remaining Useful Life Prediction of Aircraft Engines Using Hybrid Model Based on Artificial Intelligence Techniques"],"prefix":"10.1109","author":[{"given":"Unit","family":"Amin","sequence":"first","affiliation":[]},{"given":"Krishna D.","family":"Kumar","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.06.031"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711414"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582798"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2017.7998311"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/AERO50100.2021.9438432"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683763"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2013.2293517"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711422"},{"key":"ref8","author":"liphardt","year":"2019","journal-title":"Deep Evolve Genetic Algorithm"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2017.11.021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2891463"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2013.02.006"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.04.091"}],"event":{"name":"2021 IEEE International Conference on Prognostics and Health Management (ICPHM)","location":"Detroit (Romulus), MI, USA","start":{"date-parts":[[2021,6,7]]},"end":{"date-parts":[[2021,6,9]]}},"container-title":["2021 IEEE International Conference on Prognostics and Health Management (ICPHM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9486427\/9486436\/09486500.pdf?arnumber=9486500","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:43:32Z","timestamp":1652197412000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9486500\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,7]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/icphm51084.2021.9486500","relation":{},"subject":[],"published":{"date-parts":[[2021,6,7]]}}}