{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T21:53:41Z","timestamp":1792101221544,"version":"4.4.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004750","name":"Aeronautical Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004750","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,17]]},"DOI":"10.1109\/rcar54675.2022.9872225","type":"proceedings-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T20:31:54Z","timestamp":1662409914000},"page":"693-698","source":"Crossref","is-referenced-by-count":6,"title":["Real-time Prediction Method of Remaining Useful Life Based on TinyML"],"prefix":"10.1109","author":[{"given":"Hongbo","family":"Liu","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology,mechanical engineering,Beijing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Song","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,mechanical engineering,Beijing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youtian","family":"Qie","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,mechatronic engineering,Beijing"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,mechatronic engineering,Beijing"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533927"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2018.00049"},{"key":"ref12","author":"prado","year":"2020","journal-title":"Robustifying the deployment of tinyml models for autonomous mini-vehicles"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/RCAR52367.2021.9517651"},{"key":"ref14","article-title":"Remaining Useful Life Estimation in Prognostics Using Deep Bidirectional LSTM Neural Network","author":"wang","year":"2019","journal-title":"2018 Prognostics and System Health Management Conference (PHM-Chongqing)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2017.11.021"},{"key":"ref16","author":"zhuang","year":"2017","journal-title":"Learning efficient convolutional networks through network slimming"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3054315"},{"key":"ref18","article-title":"Adam: a method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Computer Science"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711414"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2010.04.015"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM51084.2021.9486528"},{"key":"ref6","first-page":"1","article-title":"Prognostics and health management of bearings based on logarithmic linear recursive least-squares and recursive maximum likelihood estimation","author":"liu","year":"2017","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"ref5","article-title":"Failure prognostics of heavy vehicle hydro-pneumatic spring based on novel degradation feature and support vector regression","author":"yang","year":"2017","journal-title":"Neural Computing & Applications"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1166\/sam.2020.3788"},{"key":"ref7","first-page":"112","article-title":"Remaining useful life prediction based on variation coefficient consistency test of a wiener process","volume":"1","year":"2018","journal-title":"Chinese Journal of Aeronautics"},{"key":"ref2","author":"vichare","year":"2006","journal-title":"Prognostics and Health Management of Electronics"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2005.09.012"},{"key":"ref9","first-page":"1","article-title":"Machine remaining useful life prediction via an attention based deep learning approach","volume":"pp","author":"chen","year":"2020","journal-title":"IEEE Transactions on Industrial Electronics"}],"event":{"name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","location":"Guiyang, China","start":{"date-parts":[[2022,7,17]]},"end":{"date-parts":[[2022,7,22]]}},"container-title":["2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9872150\/9872152\/09872225.pdf?arnumber=9872225","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T21:11:55Z","timestamp":1664226715000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9872225\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,17]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/rcar54675.2022.9872225","relation":{},"subject":[],"published":{"date-parts":[[2022,7,17]]}}}