{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T13:57:17Z","timestamp":1774965437833,"version":"3.50.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"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":"publisher","award":["51605406"],"award-info":[{"award-number":["51605406"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51775112"],"award-info":[{"award-number":["51775112"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71801046"],"award-info":[{"award-number":["71801046"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2018A030310029"],"award-info":[{"award-number":["2018A030310029"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/tim.2019.2905752","type":"journal-article","created":{"date-parts":[[2019,4,25]],"date-time":"2019-04-25T20:27:49Z","timestamp":1556224069000},"page":"683-692","source":"Crossref","is-referenced-by-count":64,"title":["A Novel Sparse Echo Autoencoder Network for Data-Driven Fault Diagnosis of Delta 3-D Printers"],"prefix":"10.1109","volume":"69","author":[{"given":"Jianyu","family":"Long","sequence":"first","affiliation":[]},{"given":"Zhenzhong","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Chuan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Hong","sequence":"additional","affiliation":[]},{"given":"Yun","family":"Bai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5362-3872","authenticated-orcid":false,"given":"Shaohui","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2018.12.004"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.cosrev.2009.03.005","article-title":"Reservoir computing approaches to recurrent neural network training","volume":"3","author":"luko\u0161evicius","year":"2009","journal-title":"Comput Sci Rev"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2018.12.016"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2006.08.005"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2015.01.016"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/s120709566"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2016.02.011"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.11.062"},{"key":"ref34","article-title":"The ‘echo state’ approach to analysing and training recurrent neural networks-with an erratum note","author":"jaeger","year":"2001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2010.01.004"},{"key":"ref40","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":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2016.05.027"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.06.008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/22\/8\/085701"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.01.008"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s110100599"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.03.018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2005.09.012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2006.12.004"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-013-1055-1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.06.027"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2417501"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1177\/1748006X17726452"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1115\/1.4028897"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2698359"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/s18041298"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2417501"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-169534"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.02.016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1108\/RPJ-03-2017-0048"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2012.06.013"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compositesb.2018.02.012"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2012.09.015"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.024"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.01.017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2774777"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/aab945"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2016.04.007"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.09.026"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/8989837\/08699100.pdf?arnumber=8699100","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:40:47Z","timestamp":1651070447000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8699100\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":40,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tim.2019.2905752","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3]]}}}