{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T03:31:19Z","timestamp":1772940679455,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,7]]},"DOI":"10.1109\/icphm51084.2021.9486650","type":"proceedings-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T20:36:08Z","timestamp":1626813368000},"page":"1-8","source":"Crossref","is-referenced-by-count":10,"title":["GAN-LSTM Predictor for Failure Prognostics of Rolling Element Bearings"],"prefix":"10.1109","author":[{"given":"Hao","family":"Lu","sequence":"first","affiliation":[]},{"given":"Vahid","family":"Barzegar","sequence":"additional","affiliation":[]},{"given":"Venkat P.","family":"Nemani","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Simon","family":"Laflamme","sequence":"additional","affiliation":[]},{"given":"Andrew T.","family":"Zimmerman","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref30","article-title":"Generative adversarial networks","author":"goodfellow","year":"2014"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.063"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.045"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010066"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.04.039"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2019.8819442"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.016"},{"key":"ref16","article-title":"ISO 10816-3:2009","year":"0","journal-title":"ISO"},{"key":"ref17","article-title":"Basic Machinery Vibrations: An Introduction to Machine Testing, Analysis, and Monitoring","author":"eshleman","year":"1999"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2018.2882682"},{"key":"ref19","first-page":"1","article-title":"PRONOSTIA: An experimental platform for bearings accelerated degradation tests","author":"nectoux","year":"2012","journal-title":"IEEE International Conference on Prognostics and Health Management PHM’12"},{"key":"ref28","article-title":"Prognostics with Variational Autoencoder by Generative Adversarial Learning","author":"huang","year":"0","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3044719"},{"key":"ref27","article-title":"Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation","author":"zhang","year":"0","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/1687814016664660"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2019.07.004"},{"key":"ref29","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108753"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2804930"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2844856"},{"key":"ref2","first-page":"1","article-title":"Prognostics and health management for maintenance practitioners-review, implementation and tools evaluation","volume":"5","author":"atamuradov","year":"2017","journal-title":"International Journal of Prognostics and Health Management"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2924605"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.06.004"},{"key":"ref20","first-page":"80","article-title":"The Fast Fourier Transform","author":"nussbaumer","year":"1981","journal-title":"Computational Framework for the Fast Fourier Transform"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2018.04.008"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2018.11.011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.041"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2020.107257"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107043"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/s21061954"}],"event":{"name":"2021 IEEE International Conference on Prognostics and Health Management (ICPHM)","location":"Detroit (Romulus), MI, USA","start":{"date-parts":[[2021,6,7]]},"end":{"date-parts":[[2021,6,9]]}},"container-title":["2021 IEEE International Conference on Prognostics and Health Management (ICPHM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9486427\/9486436\/09486650.pdf?arnumber=9486650","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:43:33Z","timestamp":1652197413000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9486650\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,7]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/icphm51084.2021.9486650","relation":{},"subject":[],"published":{"date-parts":[[2021,6,7]]}}}