{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:45:46Z","timestamp":1740102346504,"version":"3.37.3"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1109\/safeprocess58597.2023.10295777","type":"proceedings-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T17:47:19Z","timestamp":1699033639000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Robust Transfer Subspace Learning: A Novel Data-Driven Scheme for Fault Diagnosis"],"prefix":"10.1109","author":[{"given":"Fuchao","family":"Yu","sequence":"first","affiliation":[{"name":"Shanghai University,School of Mechatronic Engineering and Automation,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianchao","family":"Xiu","sequence":"additional","affiliation":[{"name":"Shanghai University,School of Mechatronic Engineering and Automation,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"The Journal of Machine Learning Research"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1145\/1291233.1291276"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/TSMC.2022.3195239"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/CVPR46437.2021.00809"},{"year":"2014","author":"tzeng","journal-title":"Deep domain confusion Maximizing for domain invariance","key":"ref11"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/TNN.2010.2091281"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/TII.2022.3180070"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/TITS.2020.3029946"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1016\/j.eswa.2021.115877"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/WACV51458.2022.00175"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/TNN.2010.2091281"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/TIP.2015.2510498"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1142\/S021969132350025X"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1016\/j.compeleceng.2022.107941"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/TPAMI.2012.88"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1137\/080738970"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/ICCV.2013.274"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/TMM.2020.3007340"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1145\/3240508.3240512"},{"key":"ref28","article-title":"Discriminant adaptive nearest neighbor classification and regression","volume":"8","author":"hastie","year":"1995","journal-title":"Advances in neural information processing systems"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/TNN.2010.2091281"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1109\/TIM.2021.3116309"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.3390\/math10193619"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref9","article-title":"How transferable are features in deep neural networks?","volume":"27","author":"yosinski","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"5990","DOI":"10.1109\/TIE.2017.2774777","article-title":"A new convolutional neural network-based data-driven fault diagnosis method","volume":"65","author":"wen","year":"2018","journal-title":"IEEE Transactions on Industrial Electronics"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TCSII.2022.3171205"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/JPROC.2020.3004555"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1145\/3065386"}],"event":{"name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","start":{"date-parts":[[2023,9,22]]},"location":"Yibin, China","end":{"date-parts":[[2023,9,24]]}},"container-title":["2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10295546\/10295577\/10295777.pdf?arnumber=10295777","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:29:20Z","timestamp":1701113360000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10295777\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/safeprocess58597.2023.10295777","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]}}}