{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T00:07:58Z","timestamp":1778890078528,"version":"3.51.4"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shanxi Province Graduate Student Innovation Project","award":["2021Y583"],"award-info":[{"award-number":["2021Y583"]}]},{"name":"Shanxi Provincial Natural Science Foundations of China","award":["201801D221339"],"award-info":[{"award-number":["201801D221339"]}]},{"name":"Shanxi Provincial Natural Science Foundations of China","award":["201801D221237"],"award-info":[{"award-number":["201801D221237"]}]},{"name":"Shanxi Provincial Natural Science Foundations of China","award":["201901D111239"],"award-info":[{"award-number":["201901D111239"]}]},{"name":"Shanxi Provincial Natural Science Foundations of China","award":["201801D121186"],"award-info":[{"award-number":["201801D121186"]}]},{"DOI":"10.13039\/501100015955","name":"Opening Project of Shanxi Key Laboratory of Advanced Manufacturing Technology","doi-asserted-by":"publisher","award":["XJZZ201902"],"award-info":[{"award-number":["XJZZ201902"]}],"id":[{"id":"10.13039\/501100015955","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015955","name":"Opening Project of Shanxi Key Laboratory of Advanced Manufacturing Technology","doi-asserted-by":"publisher","award":["XJZZ202102"],"award-info":[{"award-number":["XJZZ202102"]}],"id":[{"id":"10.13039\/501100015955","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Research Fund for Key Discipline Laboratory of Super-Pressure Hurting Technology","award":["DXMBJJ2019-01"],"award-info":[{"award-number":["DXMBJJ2019-01"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51905496"],"award-info":[{"award-number":["51905496"]}],"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":[[2022]]},"DOI":"10.1109\/tim.2022.3166786","type":"journal-article","created":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T19:28:36Z","timestamp":1649791716000},"page":"1-10","source":"Crossref","is-referenced-by-count":33,"title":["Partial Transfer Learning of Multidiscriminator Deep Weighted Adversarial Network in Cross-Machine Fault Diagnosis"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6794-2065","authenticated-orcid":false,"given":"Zhijian","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0172-2983","authenticated-orcid":false,"given":"Jie","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4956-3552","authenticated-orcid":false,"given":"Wenan","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5884-5060","authenticated-orcid":false,"given":"Yanfeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2664599"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.02.016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.117925"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3112223"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.108120"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0954406211423454"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/21.97458"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28650-9_4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.006"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.07.088"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.110511"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/cem.3170"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3112800"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3038596"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3035385"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2903699"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2754287"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2864759"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ab3072"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.107377"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.06.014"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2021.103399"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2994621"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.106587"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.045"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref29","first-page":"529","article-title":"Semi-supervised learning by entropy minimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Grandvalet"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2878491"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9717300\/09755986.pdf?arnumber=9755986","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T21:10:31Z","timestamp":1705957831000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9755986\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/tim.2022.3166786","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}