{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T16:59:37Z","timestamp":1729616377719,"version":"3.28.0"},"reference-count":22,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,7]]},"DOI":"10.1109\/icphm51084.2021.9486449","type":"proceedings-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T20:36:08Z","timestamp":1626813368000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Unsupervised Domain Adaptation for Bearing Fault Diagnosis Considering the Decision Boundaries"],"prefix":"10.1109","author":[{"given":"Tianyu","family":"Han","sequence":"first","affiliation":[]},{"given":"Xi","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1016\/j.ymssp.2020.106962"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1016\/j.ymssp.2020.107095"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/CVPR.2018.00392"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/CVPR.2019.01053"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1016\/j.knosys.2020.106236"},{"key":"ref15","article-title":"Unsupervised domain adaptation with adversarial distribution adaptation network","author":"zhou","year":"2020","journal-title":"Neural Computing and Applications"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/ICCV.2019.00151"},{"key":"ref17","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"year":"0","article-title":"Case Western Reserve University, Case Western Reserve University (CWRU) Bearing Data Center","key":"ref18"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.36001\/phme.2016.v3i1.1577","article-title":"Condition Monitoring of Bearing Damage in Electromechanical Drive Systems by Using Motor Current Signals of Electric Motors: A Benchmark Data Set for Data-Driven Classification","author":"lessmeier","year":"2016"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1016\/j.neucom.2020.04.045"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/j.knosys.2020.105971"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1016\/j.sigpro.2018.12.005"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/JSEN.2019.2949057"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1016\/j.neucom.2020.05.064"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TIE.2019.2953010"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/TII.2020.2967557"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.ymssp.2019.106587"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1016\/j.neucom.2020.05.040"},{"key":"ref20","article-title":"Learning Transferable Features with Deep Adaptation Networks","author":"long","year":"2015","journal-title":"Proceedings of The 32nd International Conference on Machine Learning"},{"key":"ref22","article-title":"Conditional Adversarial Domain Adaptation","author":"long","year":"2018","journal-title":"Neural Information Processing Systems Conference"},{"key":"ref21","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","author":"long","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"}],"event":{"name":"2021 IEEE International Conference on Prognostics and Health Management (ICPHM)","start":{"date-parts":[[2021,6,7]]},"location":"Detroit (Romulus), MI, USA","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\/09486449.pdf?arnumber=9486449","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T16:55:00Z","timestamp":1725468900000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9486449\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,7]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icphm51084.2021.9486449","relation":{},"subject":[],"published":{"date-parts":[[2021,6,7]]}}}