{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T17:54:15Z","timestamp":1775066055366,"version":"3.50.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61973015"],"award-info":[{"award-number":["61973015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3244221","type":"journal-article","created":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T21:01:44Z","timestamp":1676581304000},"page":"1-13","source":"Crossref","is-referenced-by-count":17,"title":["Health Indicator Construction Based on Multisensors for Intelligent Remaining Useful Life Prediction: A Reinforcement Learning Approach"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3989-1870","authenticated-orcid":false,"given":"Zhaoqin","family":"Peng","sequence":"first","affiliation":[{"name":"School of Automation and Electrical Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4597-4469","authenticated-orcid":false,"given":"Xucong","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5002-9694","authenticated-orcid":false,"given":"Diyin","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8216-8998","authenticated-orcid":false,"given":"Quan","family":"Quan","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, Beihang University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2019.01.006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s21124217"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3149094"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3055788"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1016\/j.ymssp.2017.11.016","article-title":"Machinery health prognostics: A systematic review from data acquisition to RUL prediction","volume":"104","author":"Lei","year":"2018","journal-title":"Mech. Syst. Signal Process."},{"issue":"3","key":"ref6","first-page":"481","article-title":"Data-driven prognostics and health management: A review of recent advances","volume":"35","author":"Yu","year":"2014","journal-title":"Chin. J. Sci. Instrum."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2014.2348613"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/B978-0-323-91300-3.00005-X","article-title":"Digital twin-driven prognostics and health management","volume-title":"Digital Twin Driven Service","author":"Yu","year":"2022"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2022.103794"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2774261"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.09.033"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2349733"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2015.2446752"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3026644"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2020.3011500"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2018.1440673"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108526"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2020.107241"},{"key":"ref19","volume-title":"Foundations of Deep Reinforcement Learning: Theory and Practice in Python","author":"Graesser","year":"2019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2013.2250282"},{"key":"ref21","article-title":"Proximal policy optimization algorithms","volume-title":"arXiv:1707.06347","author":"Schulman","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1993.10485038"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2006.876609"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/07408170590929018"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2017.2695119"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3055977"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711414"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2900295"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3104414"},{"key":"ref31","article-title":"Battery data set","author":"Saha","year":"2007"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10043772.pdf?arnumber=10043772","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T15:37:07Z","timestamp":1707838627000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10043772\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3244221","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}