{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T09:50:11Z","timestamp":1773913811384,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":"crossref","award":["72331002"],"award-info":[{"award-number":["72331002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["52305010"],"award-info":[{"award-number":["52305010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Science and Technology Plan Project of Sichuan","award":["2024JDHJ0054"],"award-info":[{"award-number":["2024JDHJ0054"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Rel."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tr.2026.3668558","type":"journal-article","created":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T20:48:51Z","timestamp":1772225331000},"page":"1291-1305","source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical Bayesian Multimodal Learning for Probabilistic RUL Prediction: An Evidential Framework with Uncertainty-Calibrated Fusion"],"prefix":"10.1109","volume":"75","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8359-4802","authenticated-orcid":false,"given":"Yuan","family":"Wang","sequence":"first","affiliation":[{"name":"School of Mechanical and Electrical Engineering, and the Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4367-5097","authenticated-orcid":false,"given":"Yu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, and the Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9938-7406","authenticated-orcid":false,"given":"Suk Joo","family":"Bae","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Hanyang University, Seoul, South Korea"}]},{"given":"Jun","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, and the Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, China"}]},{"given":"Yaguo","family":"Lei","sequence":"additional","affiliation":[{"name":"Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2024.3459649"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/3050-2454\/ad9f63"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-9131-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tro.2017.2723903"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107531"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TTE.2023.3247614"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2023.102143"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2019.106682"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2020.107098"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1088\/3050-2454\/add5fa"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3453604"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3136768"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109804"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.03.043"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2024.115247"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhydene.2020.03.100"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110784"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1115\/1.4069830"},{"key":"ref20","first-page":"6881","article-title":"Trustworthy multimodal regression with mixture of normal-inverse gamma distributions","volume":"34","author":"Ma","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/stc.2811"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2021.3124944"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2022.3159273"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3051285"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2023.11.009"},{"key":"ref26","article-title":"Multimodal fusion on low-quality data: A comprehensive survey","author":"Zhang","year":"2024"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i19.30172"},{"key":"ref28","article-title":"SDE-Net: Equipping deep neural networks with uncertainty estimates","author":"Kong","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.56947\/amcs.v23.294"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2021.05.019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2657605"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2024.3397394"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2022.3192526"},{"key":"ref34","volume-title":"Dive into deep learning","author":"Zhang","year":"2023"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TTE.2023.3323976"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/s22239522"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.107807"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3200667"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107902"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105151"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2021.02.024"},{"key":"ref42","first-page":"14927","article-title":"Deep evidential regression","volume":"33","author":"Amini","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3491865"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2024.110399"}],"container-title":["IEEE Transactions on Reliability"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/24\/11317936\/11417317.pdf?arnumber=11417317","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T05:01:40Z","timestamp":1773896500000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11417317\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/tr.2026.3668558","relation":{},"ISSN":["0018-9529","1558-1721"],"issn-type":[{"value":"0018-9529","type":"print"},{"value":"1558-1721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}