{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T15:24:00Z","timestamp":1783092240606,"version":"3.54.6"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"ETH Mobility Initiative"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Rel."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tr.2024.3397394","type":"journal-article","created":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T13:24:30Z","timestamp":1715865870000},"page":"2408-2420","source":"Crossref","is-referenced-by-count":12,"title":["Learning Informative Health Indicators Through Unsupervised Contrastive Learning"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5399-8404","authenticated-orcid":false,"given":"Katharina","family":"Rombach","sequence":"first","affiliation":[{"name":"Chair of Intelligent Maintenance Systems, ETH Zurich, Z&#x00FC;rich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6882-2906","authenticated-orcid":false,"given":"Gabriel","family":"Michau","sequence":"additional","affiliation":[{"name":"Maintenance Systems &amp; Technologies Group, Stadler Service AG, Frauenfeld, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wilfried","family":"B\u00fcrzle","sequence":"additional","affiliation":[{"name":"Vehicle and System Engineering Group, Swiss Federal Railways, Bern, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Koller","sequence":"additional","affiliation":[{"name":"Wayside Train Monitoring Systems Department Group, Swiss Federal Railways, Bern, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9546-1488","authenticated-orcid":false,"given":"Olga","family":"Fink","sequence":"additional","affiliation":[{"name":"Intelligent Maintenance and Operations Systems, EPFL, Lausanne, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2024.110351"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103678"},{"key":"ref4","article-title":"Increasing the wheelset life by understanding the wheel conditions","author":"Vincent","year":"2021","journal-title":"ZEVrail"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117297"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110460"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.04.036"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2017.01.005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.10.047"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/1748006X19868335"},{"key":"ref12","article-title":"Multi-sensor prognostics using an unsupervised health index based on LSTM encoder-decoder","author":"Malhotra","year":"2016"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107379"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.36001\/phmconf.2023.v15i1.3444"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2774261"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-019-01491-4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105582"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2019.09.041"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.05.040"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2017.2715180"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2022.3215757"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.08.025"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.02.083"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3169465"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084249"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2021.02.006"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.107890"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108482"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106816"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/s21103550"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref34","article-title":"Unsupervised scalable representation learning for multivariate time series","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Franceschi"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109163"},{"key":"ref36","first-page":"1","article-title":"Fuzzy neural network modelling for tool wear estimation in dry milling operation","volume-title":"Proc. Annu. Conf. PHM Soc.","author":"Li"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2022.102368"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/s22134763"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.110719"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2106598119"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2720721"}],"container-title":["IEEE Transactions on Reliability"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/24\/10909743\/10531793.pdf?arnumber=10531793","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T18:33:01Z","timestamp":1766082781000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10531793\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":41,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tr.2024.3397394","relation":{},"ISSN":["0018-9529","1558-1721"],"issn-type":[{"value":"0018-9529","type":"print"},{"value":"1558-1721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}