{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T05:17:17Z","timestamp":1775539037469,"version":"3.50.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Open Research Fund of the State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources","award":["SKLCRSM24KF009"],"award-info":[{"award-number":["SKLCRSM24KF009"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51905218"],"award-info":[{"award-number":["51905218"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Eighth Young Elite Scientists Sponsorship Program by CAST","doi-asserted-by":"publisher","award":["2022QNRC001"],"award-info":[{"award-number":["2022QNRC001"]}],"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":[[2025]]},"DOI":"10.1109\/tim.2025.3551998","type":"journal-article","created":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:27:47Z","timestamp":1743042467000},"page":"1-11","source":"Crossref","is-referenced-by-count":4,"title":["RUL Prediction of Rolling Bearings With MVGA-DSAL: A Multiscale Variant Gaussian Attention Model With Depth-Wise Sparse Attention LSTM"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5980-4527","authenticated-orcid":false,"given":"Wei","family":"Fan","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Jiangsu University, Zhenjiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4049-4228","authenticated-orcid":false,"given":"Zhiyuan","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Jiangsu University, Zhenjiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9197-7375","authenticated-orcid":false,"given":"Shaoyi","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6862-5996","authenticated-orcid":false,"given":"Zhennan","family":"Fan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6933-1834","authenticated-orcid":false,"given":"Ye","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Jiangsu University, Zhenjiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2024.3359212"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3383498"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108914"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2019.8819376"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.actaastro.2018.10.029"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3059500"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-021-01750-x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3370801"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.05.050"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2856205"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/10775463221074797"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2019.02.004"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109247"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2019.07.004"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2891463"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2959492"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3196381"},{"issue":"2","key":"ref19","first-page":"370","article-title":"Research advances on deep learning recommendation based on attention mechanism","volume":"43","author":"Chen","year":"2021","journal-title":"Comput. Eng. Sci."},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-021-01750-x"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107531"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2021.03.012"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106491"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109605"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2023.101973"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107902"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016489"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2023.128569"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107556"},{"key":"ref30","article-title":"Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality","author":"Dao","year":"2024","journal-title":"arXiv:2405.21060"},{"key":"ref31","first-page":"1","article-title":"PRONOSTIA: An experimental platform for bearings accelerated degradation tests","volume-title":"Proc. IEEE Int. Conf. Prognostics Health Manage. (PHM)","author":"Nectoux"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10938870.pdf?arnumber=10938870","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T00:07:52Z","timestamp":1743638872000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10938870\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3551998","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}