{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T12:00:10Z","timestamp":1773489610307,"version":"3.50.1"},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100006041","name":"Innovate UK","doi-asserted-by":"publisher","award":["102063"],"award-info":[{"award-number":["102063"]}],"id":[{"id":"10.13039\/501100006041","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beran Instruments Ltd."},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/N002539\/1"],"award-info":[{"award-number":["EP\/N002539\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2966827","type":"journal-article","created":{"date-parts":[[2020,1,15]],"date-time":"2020-01-15T21:25:23Z","timestamp":1579123523000},"page":"19033-19045","source":"Crossref","is-referenced-by-count":62,"title":["Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2381-6067","authenticated-orcid":false,"given":"Yang","family":"Zhang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9903-351X","authenticated-orcid":false,"given":"Paul","family":"Hutchinson","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7767-3383","authenticated-orcid":false,"given":"Nicholas A. J.","family":"Lieven","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5153-5481","authenticated-orcid":false,"given":"Jose","family":"Nunez-Yanez","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.2011.0704"},{"key":"ref72","article-title":"Generating sequences with recurrent neural networks","author":"graves","year":"2013","journal-title":"arXiv 1308 0850 [cs]"},{"key":"ref71","article-title":"Multi-sensor prognostics using an unsupervised health index based on LSTM encoder-decoder","author":"malhotra","year":"2016","journal-title":"arXiv 1608 06154"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2919566"},{"key":"ref76","first-page":"7","article-title":"The relevance vector machine","author":"tipping","year":"2000","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2017.7998311"},{"key":"ref74","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"rumelhart","year":"1986","journal-title":"Nature"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.03.029"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2013.11.006"},{"key":"ref78","first-page":"5","article-title":"Long short-term memory recurrent neural network architectures for large scale acoustic modeling","author":"sak","year":"2014","journal-title":"Proc Annu Conf Int Speech Commun Assoc"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1080\/07408170590929009"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2012.11.022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2015.2487578"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2908617"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2009.11.011"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2013.2259496"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2009.2038170"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1006\/mssp.2000.1309"},{"key":"ref60","article-title":"Predicting remaining useful life using time series embeddings based on recurrent neural networks","author":"gugulothu","year":"2017","journal-title":"arXiv 1709 01073"},{"key":"ref62","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","author":"pascanu","year":"2012","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref61","article-title":"Gradient flow in recurrent nets: The difficulty of learning longterm dependencies","author":"kolen","year":"2001","journal-title":"A Field Guide to Dynamical Recurrent Networks"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009664101413"},{"key":"ref64","article-title":"Google&#x2019;s neural machine translation system: Bridging the gap between human and machine translation","author":"wu","year":"2016","journal-title":"arXiv 1609 08144"},{"key":"ref27","author":"cox","year":"1965","journal-title":"The Theory of Stochastic Processes"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICASI.2018.8394326"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/PHM-Chongqing.2018.00184"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2019.2908492"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.3390\/s17020273"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683763"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.016"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2016.2573596"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2015.2427891"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2307\/1269661"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2547358"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2011.08.040"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2010.07.003"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/15732470601012154"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/1687814016666747"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5070-6"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2078296"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2019.106682"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2868023"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2018.11.011"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2017.11.021"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32025-0_14"},{"key":"ref52","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2016.2590258"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.06.031"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1972.tb00899.x"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2014.2366759"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2013.2241216"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1007\/BF00787959","article-title":"Coupled torsional and bending vibrations of a rotor with an open crack","volume":"62","author":"ostachowicz","year":"1992","journal-title":"Arch Appl Mech"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/12.475502"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2015.2500681"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2012.12.004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2010.11.018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.12.039"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/9781118443118"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081559"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2010.11.018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2005.09.012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1115\/1.3656900"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2014.2368872"},{"key":"ref49","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2016.2570568"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582798"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-009-0356-9"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-2874-0"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711414"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2012.02.015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1093\/imaman\/dpi029"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2005.11.008"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.024"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08960368.pdf?arnumber=8960368","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T14:18:06Z","timestamp":1665497886000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8960368\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":78,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2966827","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}