{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T09:45:54Z","timestamp":1785231954826,"version":"3.55.0"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20483"],"award-info":[{"award-number":["U21A20483"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62373040"],"award-info":[{"award-number":["62373040"]}],"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":[[2025]]},"DOI":"10.1109\/tim.2025.3548073","type":"journal-article","created":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T18:44:44Z","timestamp":1741200284000},"page":"1-11","source":"Crossref","is-referenced-by-count":5,"title":["A Novel Multimodal Process Monitoring Method Based on Improved Just-in-Time Learning-Assisted Stacked Quality-Related Autoencoder"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2713-0301","authenticated-orcid":false,"given":"Xin","family":"Qin","sequence":"first","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8314-3047","authenticated-orcid":false,"given":"Kaixiang","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1660-0468","authenticated-orcid":false,"given":"Hongjun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/app11125725"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/aic.11977"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/aic.13959"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2012.2214394"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cta.2014.0732"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.5b02559"},{"issue":"4","key":"ref7","first-page":"801","article-title":"Industrial process quality-related fault detection based on adaptive mixed kernel canonical variable analysis","volume":"36","author":"Yao","year":"2021","journal-title":"Control Decis."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ChiCC.2014.6895455"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3308224"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2019.04.001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2019.01.011"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2021.110148"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2022.2093420"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3264994"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.0c02256"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3125666"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/cem.2912"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cjche.2020.06.015"},{"issue":"4","key":"ref19","first-page":"1062","article-title":"Improved neighborhood-preserving embedding-independent meta-analysis algorithm for intermittent process fault detection","volume":"27","author":"Zhao","year":"2021","journal-title":"Comput. Integr. Manuf. Syst."},{"issue":"8","key":"ref20","first-page":"1879","article-title":"Multimodal industrial process fault detection based on LNS-DEWKECA algorithm","volume":"35","author":"Gu","year":"2020","journal-title":"Control Decis."},{"issue":"4","key":"ref21","first-page":"553","article-title":"Fault detection strategy of standard-distance-based k nearest neighbor rule in multimode processes","volume":"36","author":"Feng","year":"2019","journal-title":"Control Theory Appl."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2023.103050"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106395"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110870"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2989708"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/cjce.24631"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/cem.3040"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3139194"},{"issue":"6","key":"ref29","first-page":"185","article-title":"Online modeling of just-in-time-learning based on spatio-temporal similarity","volume":"43","author":"Shi","year":"2022","journal-title":"Chin. J. Sci. Instrum."},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.11.107"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.108898"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3268745"},{"issue":"7","key":"ref33","first-page":"1650","article-title":"A review of root cause diagnosis and propagation path identification techniques for industrial process failures","volume":"48","author":"Ma","year":"2022","journal-title":"Acta Autom. Sinica"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10914547.pdf?arnumber=10914547","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T18:07:08Z","timestamp":1742839628000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10914547\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3548073","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}