{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T03:31:22Z","timestamp":1772940682844,"version":"3.50.1"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006180","name":"Technology Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006180","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1109\/safeprocess58597.2023.10295736","type":"proceedings-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T17:47:19Z","timestamp":1699033639000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Prognostics of rolling element bearing based on combined SSA-VMD and CNN-BiGRU models"],"prefix":"10.1109","author":[{"given":"Bangcheng","family":"Zhang","sequence":"first","affiliation":[{"name":"Changchun Institute of Engineering and Changchun University of Technology,School of Mechatronics,Changchun,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingyuan","family":"Song","sequence":"additional","affiliation":[{"name":"Jilin Emergency Management Institute Changchun Institute of Engineering,Changchun,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Li","sequence":"additional","affiliation":[{"name":"Changchun Institute of Engineering,School of Computer Science and Computing,Changchun,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Gao","sequence":"additional","affiliation":[{"name":"Changchun University of Technology,School of Applied Technology,Changchun,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"issue":"03","key":"ref1","first-page":"481","article-title":"A review of data-driven fault prediction and health management","volume":"35","author":"Peng","year":"2014","journal-title":"Journal of Instrumentation"},{"key":"ref2","first-page":"1","article-title":"Application of convolutional self-encoder and residual recurrent neural network for tool remaining life prediction","author":"Zhou","year":"2023","journal-title":"Mechanical Science and Technology"},{"issue":"01","key":"ref3","first-page":"76","article-title":"A method for predicting the remaining service life of mechanical equipment based on nested long- and short-term memory networks","volume":"52","author":"Cheng","year":"2022","journal-title":"China Science:Technology Science"},{"key":"ref4","first-page":"56","article-title":"Particle swarm optimized data-driven model for remaining useful life prediction of lithium-ion batteries by systematic sampling","volume":"PB","author":"Shaheer","year":"2022","journal-title":"Journal of Energy Storage"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2021.10.011"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/su132313333"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LED.2020.3034567"},{"issue":"12","key":"ref8","first-page":"186","article-title":"Residual life prediction of coal mining machine rocker arm based on MSCNN-GRU neural network","volume":"41","author":"Cao","year":"2022","journal-title":"Coal Technology"},{"key":"ref9","article-title":"Research on remaining life prediction of bearings based on multi-scale convolutional neural network","author":"Jia","year":"2022","journal-title":"Lanzhou University of Technology"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tie.2020.3003649"},{"issue":"02","key":"ref11","first-page":"1","article-title":"Research status and challenges of residual life prediction of complex degraded systems based on deep learning","volume":"28","author":"Hu","year":"2021","journal-title":"Electric Light and Control"},{"issue":"03","key":"ref12","first-page":"256","article-title":"Process fault detection based on two-dimensional convolutional neural network high-level data feature learning","volume":"35","author":"Li","year":"2021","journal-title":"Journal of Shenyang University of Chemical Technology"},{"issue":"01","key":"ref13","first-page":"180","article-title":"Fault detection method of BLDCM drive system based on two-dimensional convolutional neural network","volume":"20","author":"Sun","year":"2022","journal-title":"Journal of Power Supply"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.109557"},{"key":"ref15","article-title":"CNN-BiGRU gear life prediction based on attention mechanism","author":"Pang","year":"2022","journal-title":"Inner Mongolia University of Science and Technology"},{"key":"ref16","first-page":"1","article-title":"Research on residual life prediction technology of electromechanical actuators based on multimodal Transformer","author":"Chen","year":"2023","journal-title":"Journal of Military Engineering"},{"issue":"02","key":"ref17","first-page":"195","article-title":"Modeling of performance degradation and residual life prediction of aircraft engines based on nonlinear Wiener process","volume":"41","author":"Wang","year":"2020","journal-title":"Journal of Aeronautics"},{"issue":"06","key":"ref18","first-page":"498","article-title":"Life prediction of rolling bearings based on variable dimensional GRU-BiLSTM neural network model","volume":"20","author":"Tang","year":"2022","journal-title":"Chinese Journal of Construction Machinery"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2018.2882682"}],"event":{"name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","location":"Yibin, China","start":{"date-parts":[[2023,9,22]]},"end":{"date-parts":[[2023,9,24]]}},"container-title":["2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10295546\/10295577\/10295736.pdf?arnumber=10295736","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T10:56:57Z","timestamp":1709377017000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10295736\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/safeprocess58597.2023.10295736","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]}}}