{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T13:59:41Z","timestamp":1768917581424,"version":"3.49.0"},"reference-count":46,"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":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFC1522502"],"award-info":[{"award-number":["2020YFC1522502"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFC1522505"],"award-info":[{"award-number":["2020YFC1522505"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62073140"],"award-info":[{"award-number":["62073140"]}],"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":["62073141"],"award-info":[{"award-number":["62073141"]}],"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":["62103149"],"award-info":[{"award-number":["62103149"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013105","name":"Shanghai Rising-Star Program","doi-asserted-by":"publisher","award":["21QA1401800"],"award-info":[{"award-number":["21QA1401800"]}],"id":[{"id":"10.13039\/501100013105","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007219","name":"National Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["19ZR1473200"],"award-info":[{"award-number":["19ZR1473200"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007219","name":"National Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["22ZR1417000"],"award-info":[{"award-number":["22ZR1417000"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSERC Discovery Grants Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tim.2022.3152235","type":"journal-article","created":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T20:25:59Z","timestamp":1645215959000},"page":"1-14","source":"Crossref","is-referenced-by-count":5,"title":["Weighted Conditional Discriminant Analysis for Unseen Operating Modes Fault Diagnosis in Chemical Processes"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6884-4558","authenticated-orcid":false,"given":"Yutang","family":"Xiao","sequence":"first","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9400-1415","authenticated-orcid":false,"given":"Hongbo","family":"Shi","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6108-3589","authenticated-orcid":false,"given":"Boyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and the Brain Mind Institute, University of Western Ontario, London, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5058-8899","authenticated-orcid":false,"given":"Yang","family":"Tao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9626-7831","authenticated-orcid":false,"given":"Shuai","family":"Tan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1379-245X","authenticated-orcid":false,"given":"Bing","family":"Song","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2954151"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3015034"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2913057"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2019.07.032"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/en13020459"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/6371085"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s19122727"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/cjce.23249"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2018.11.017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2017.10.029"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2016.12.013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2942560"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2020.107024"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06080-w"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11682"},{"key":"ref17","first-page":"292","article-title":"Domain generalization via multidomain discriminant analysis","volume-title":"Proc. Uncertainty Artif. Intell.","author":"Hu"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.09.091"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2019.2963873"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.05.014"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2018.04.008"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2020.107023"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2016.11.015"},{"key":"ref24","first-page":"9638","article-title":"Aggregating from multiple target-shifted sources","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shui"},{"key":"ref25","first-page":"10645","article-title":"Transfer learning via minimizing the performance gap between domains","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11596"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.1c00873"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2020.106787"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2599532"},{"issue":"Apr","key":"ref30","first-page":"1517","article-title":"Hilbert space embeddings and metrics on probability measures","volume":"11","author":"Sriperumbudur","year":"2010","journal-title":"J. Mach. Learn. Res."},{"issue":"11","key":"ref31","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":"ref32","first-page":"16096","article-title":"Domain generalization via entropy regularization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Zhao"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240512"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3758\/BF03213026"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00142-2"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2288-14-26"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/0098-1354(93)80018-I"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3090753"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtice.2019.09.017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1021\/ie9018947"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_28"},{"key":"ref43","article-title":"Cycle self-training for domain adaptation","author":"Liu","year":"2021","journal-title":"arXiv:2103.03571"},{"key":"ref44","first-page":"1","article-title":"Practical Bayesian optimization of machine learning algorithms","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Snoek"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93025-1"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1177\/0278364904045481"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9717300\/09716854.pdf?arnumber=9716854","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:11:41Z","timestamp":1705536701000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9716854\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tim.2022.3152235","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}