{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T00:37:35Z","timestamp":1776731855940,"version":"3.51.2"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100011422","name":"Open Fund Program of the State Key Laboratory of Traction Power, Southwest Jiaotong University","doi-asserted-by":"publisher","award":["TPL2105"],"award-info":[{"award-number":["TPL2105"]}],"id":[{"id":"10.13039\/501100011422","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011415","name":"Research Project of State Key Laboratory of Mechanical System and Vibration","doi-asserted-by":"publisher","award":["MSV202104"],"award-info":[{"award-number":["MSV202104"]}],"id":[{"id":"10.13039\/501100011415","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51875375"],"award-info":[{"award-number":["51875375"]}],"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":["51975355"],"award-info":[{"award-number":["51975355"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tim.2021.3055786","type":"journal-article","created":{"date-parts":[[2021,2,2]],"date-time":"2021-02-02T03:40:24Z","timestamp":1612237224000},"page":"1-13","source":"Crossref","is-referenced-by-count":52,"title":["Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5143-8366","authenticated-orcid":false,"given":"Changqing","family":"Shen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0722-8759","authenticated-orcid":false,"given":"Xu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4872-4860","authenticated-orcid":false,"given":"Dong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0618-6857","authenticated-orcid":false,"given":"Yongxiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2544-5084","authenticated-orcid":false,"given":"Jun","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7147-5589","authenticated-orcid":false,"given":"Mingming","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref38","article-title":"Central moment discrepancy (CMD) for domain-invariant representation learning","author":"zellinger","year":"2017","journal-title":"arXiv 1702 08811"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2947026"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.150"},{"key":"ref37","article-title":"Wasserstein auto-encoders","author":"tolstikhin","year":"2017","journal-title":"arXiv 1711 01558"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2973293"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240512"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.106587"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2018.09.010"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1177\/0954407020923258"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.106993"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3004555"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.07.009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.02.006"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105254"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105962"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.07.009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2019.103627"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.107227"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2877090"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105313"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2949057"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.106683"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.06.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.024"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2925410"},{"key":"ref20","first-page":"1","article-title":"Bearing fault diagnosis based on SVD feature extraction and transfer learning classification","author":"shen","year":"2015","journal-title":"Proc Prognostics Syst Health Manage Conf (PHM)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2754287"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2956052"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.12.051"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2936932"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2019.08.012"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2020.107050"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9259274\/09343309.pdf?arnumber=9343309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:23Z","timestamp":1652194283000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9343309\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/tim.2021.3055786","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}