{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T18:04:50Z","timestamp":1783188290644,"version":"3.54.6"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Electron."],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1109\/tie.2018.2873546","type":"journal-article","created":{"date-parts":[[2018,10,10]],"date-time":"2018-10-10T18:44:58Z","timestamp":1539197098000},"page":"6331-6342","source":"Crossref","is-referenced-by-count":126,"title":["Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems"],"prefix":"10.1109","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4330-3656","authenticated-orcid":false,"given":"Roozbeh","family":"Razavi-Far","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9956-4003","authenticated-orcid":false,"given":"Ehsan","family":"Hallaji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8553-7680","authenticated-orcid":false,"given":"Maryam","family":"Farajzadeh-Zanjani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7587-4189","authenticated-orcid":false,"given":"Mehrdad","family":"Saif","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shahin Hedayati","family":"Kia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6878-8437","authenticated-orcid":false,"given":"Humberto","family":"Henao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6589-7686","authenticated-orcid":false,"given":"Gerard-Andre","family":"Capolino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref38","first-page":"57","article-title":"Semi-supervised classification by low density separation","author":"chapelle","year":"0","journal-title":"Proc 10th Int Workshop Artif Intell Statist"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2527623"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2826477"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2733448"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2851961"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2307349"},{"key":"ref36","first-page":"2368","article-title":"Deconstructing the ladder network architecture","volume":"48","author":"pezeshki","year":"0","journal-title":"Proc 33rd Int Conf Mach Learn"},{"key":"ref35","first-page":"1045","article-title":"Recurrent neural network based language model","author":"mikolov","year":"0","journal-title":"Proc Annu Conf Int Speech Commun Assoc"},{"key":"ref34","first-page":"3546","article-title":"Semi-supervised learning with ladder networks","volume":"2","author":"rasmus","year":"0","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2005.09.012"},{"key":"ref40","first-page":"2399","article-title":"Manifold regularization: A geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"belkin","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2016.07.011"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2013.11.012"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2006.888786"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2016.7793549"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2586442"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2733438"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2745473"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2844805"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2762639"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.0-177"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2701761"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2767540"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2009.04.007"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2009.2026772"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2726961"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.2018.2811044"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2011.2106094"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2016.2600596"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1006\/mssp.2001.1392"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.07.007"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470977668"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2774777"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2014.07.019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2755064"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/72.963769"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2462315"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2574303"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2015.03.014"},{"key":"ref43","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2650873"}],"container-title":["IEEE Transactions on Industrial Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/41\/8678530\/08488676.pdf?arnumber=8488676","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:52:34Z","timestamp":1657745554000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8488676\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":43,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tie.2018.2873546","relation":{},"ISSN":["0278-0046","1557-9948"],"issn-type":[{"value":"0278-0046","type":"print"},{"value":"1557-9948","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8]]}}}