{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T03:39:35Z","timestamp":1769571575113,"version":"3.49.0"},"reference-count":42,"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":"am","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":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-23-1-2495"],"award-info":[{"award-number":["N00014-23-1-2495"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tase.2024.3383811","type":"journal-article","created":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T17:35:17Z","timestamp":1712943317000},"page":"2746-2757","source":"Crossref","is-referenced-by-count":3,"title":["Prediction of Condition Monitoring Signals Using Scalable Pairwise Gaussian Processes and Bayesian Model Averaging"],"prefix":"10.1109","volume":"22","author":[{"given":"Jinwen","family":"Sun","sequence":"first","affiliation":[{"name":"Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, WI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5902-8812","authenticated-orcid":false,"given":"Shiyu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, WI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3796-288X","authenticated-orcid":false,"given":"Dharmaraj","family":"Veeramani","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, WI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2863-5748","authenticated-orcid":false,"given":"Kaibo","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, WI, USA"}]}],"member":"263","reference":[{"key":"ref1","first-page":"369","article-title":"A review on degradation models in reliability analysis","volume-title":"Proc. 4th World Congr. Eng. Asset Manage.","author":"Nima"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2010.11.018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/07408170590929018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2008.928245"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2019.2897784"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2307\/1269661"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/0740817X.2013.876126"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/07408170802369409"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2014.931236"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2008.12.007"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2021.3124144"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.108917"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5705\/ss.2009.328"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/sim.5740"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1214\/10-AOAS448"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2012.680823"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2017.1383310"},{"issue":"3","key":"ref18","volume-title":"Gaussian Processes for Machine Learning","volume":"2","author":"Williams","year":"2006"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/qre.2326"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.109336"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3173368"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1023\/A:1021757104135"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2019.2917887"},{"key":"ref25","first-page":"1","article-title":"Sparse convolved Gaussian processes for multi-output regression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"21","author":"Alvarez"},{"key":"ref26","first-page":"1459","article-title":"Computationally efficient convolved multiple output Gaussian processes","volume":"12","author":"Alvarez","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2987482"},{"key":"ref28","article-title":"Hierarchical mixture-of-experts model for large-scale Gaussian process regression","author":"Wei Ng","year":"2014","journal-title":"arXiv:1412.3078"},{"key":"ref29","article-title":"Generalized product of experts for automatic and principled fusion of Gaussian process predictions","author":"Cao","year":"2014","journal-title":"arXiv:1410.7827"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300014908"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1997.10473615"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-10-72"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1006\/jmps.1999.1278"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1009212519"},{"key":"ref35","first-page":"1","article-title":"Multi-task Gaussian process prediction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"20","author":"Bonilla"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1080\/15472450.2023.2301696"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1986.10478240"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1994.10476894"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1080\/0740817X.2011.618175"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711414"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2017.11.021"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1995.tb02015.x"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/8856\/10839176\/10498134-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8856\/10839176\/10498134.pdf?arnumber=10498134","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,8]],"date-time":"2025-02-08T05:35:39Z","timestamp":1738992939000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10498134\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/tase.2024.3383811","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}