{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T23:51:33Z","timestamp":1705967493773},"reference-count":7,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T00:00:00Z","timestamp":1615766400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T00:00:00Z","timestamp":1615766400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s11432-020-2964-7","type":"journal-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T10:15:57Z","timestamp":1616148957000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A novel deep quality-supervised regularized autoencoder model for quality-relevant fault detection"],"prefix":"10.1007","volume":"65","author":[{"given":"Zhichao","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuefeng","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,3,15]]},"reference":[{"key":"2964_CR1","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.chemolab.2017.09.021","volume":"171","author":"Z Q Ge","year":"2017","unstructured":"Ge Z Q. Review on data-driven modeling and monitoring for plant-wide industrial processes. Chemometr Intell Lab Syst, 2017, 171: 16\u201325","journal-title":"Chemometr Intell Lab Syst"},{"key":"2964_CR2","doi-asserted-by":"publisher","first-page":"12899","DOI":"10.1021\/acs.iecr.9b02391","volume":"58","author":"Q C Jiang","year":"2019","unstructured":"Jiang Q C, Yan X F, Huang B. Review and perspectives of data-driven distributed monitoring for industrial plant-wide processes. Ind Eng Chem Res, 2019, 58: 12899\u201312912","journal-title":"Ind Eng Chem Res"},{"key":"2964_CR3","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1109\/TCYB.2016.2536638","volume":"47","author":"B Du","year":"2017","unstructured":"Du B, Xiong W, Wu J, et al. Stacked convolutional denoising auto-encoders for feature representation. IEEE Trans Cybern, 2017, 47: 1017\u20131027","journal-title":"IEEE Trans Cybern"},{"key":"2964_CR4","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.jprocont.2018.02.004","volume":"64","author":"Z Zhang","year":"2018","unstructured":"Zhang Z, Jiang T, Li S, et al. Automated feature learning for nonlinear process monitoring \u2014 an approach using stacked denoising autoencoder and k-nearest neighbor rule. J Process Control, 2018, 64: 49\u201361","journal-title":"J Process Control"},{"key":"2964_CR5","doi-asserted-by":"publisher","first-page":"22554","DOI":"10.1109\/ACCESS.2019.2894764","volume":"7","author":"K Wang","year":"2019","unstructured":"Wang K, Forbes M G, Gopaluni B, et al. Systematic development of a new variational autoencoder model based on uncertain data for monitoring nonlinear processes. IEEE Access, 2019, 7: 22554\u201322565","journal-title":"IEEE Access"},{"key":"2964_CR6","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.chemolab.2018.07.011","volume":"181","author":"F Lv","year":"2018","unstructured":"Lv F, Wen C, Liu M. Representation learning based adaptive multimode process monitoring. Chemometr Intell Lab Syst, 2018, 181: 95\u2013104","journal-title":"Chemometr Intell Lab Syst"},{"key":"2964_CR7","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/0098-1354(93)80018-I","volume":"17","author":"J J Downs","year":"1993","unstructured":"Downs J J, Vogel E F. A plant-wide industrial process control problem. Comput Chem Eng, 1993, 17: 245\u2013255","journal-title":"Comput Chem Eng"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-020-2964-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11432-020-2964-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-020-2964-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T20:23:24Z","timestamp":1685910204000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11432-020-2964-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,15]]},"references-count":7,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["2964"],"URL":"https:\/\/doi.org\/10.1007\/s11432-020-2964-7","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,15]]},"assertion":[{"value":"29 February 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 April 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"159203"}}