{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T23:26:18Z","timestamp":1773617178428,"version":"3.50.1"},"reference-count":18,"publisher":"Pleiades Publishing Ltd","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"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":["Autom Remote Control"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1134\/s00051179220120104","type":"journal-article","created":{"date-parts":[[2023,3,16]],"date-time":"2023-03-16T16:02:47Z","timestamp":1678982567000},"page":"1984-1994","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Developing an Adaptive Soft Sensor Using a Predictive Filter for a Nonstationary Process"],"prefix":"10.1134","volume":"83","author":[{"given":"V. V.","family":"Klimchenko","sequence":"first","affiliation":[]},{"given":"O. Yu.","family":"Snegirev","sequence":"additional","affiliation":[]},{"given":"S. A.","family":"Shevlyagina","sequence":"additional","affiliation":[]},{"given":"A. Yu.","family":"Torgashov","sequence":"additional","affiliation":[]}],"member":"137","published-online":{"date-parts":[[2023,3,16]]},"reference":[{"key":"2366_CR1","doi-asserted-by":"publisher","first-page":"1691","DOI":"10.1023\/B:AURC.0000047885.52816.c7","volume":"65","author":"N.N. Bakhtadze","year":"2004","unstructured":"Bakhtadze, N.N., Virtual analyzers: Identification approach, Autom. Remote Control, 2004, vol. 65, pp. 1691\u20131709.\nhttps:\/\/doi.org\/10.1023\/B:AURC.0000047885.52816.c7","journal-title":"Autom. Remote Control"},{"key":"2366_CR2","unstructured":"Lototskii, V.A., Chadeev, V.M., Maksimov, E.A., and Bakhtadze, N.N.,\nProspects for the use of soft sensors in production control systems, Avtom. Prom-sti, 2004, no. 5, pp. 23\u201329."},{"issue":"43","key":"2366_CR3","doi-asserted-by":"publisher","first-page":"20026","DOI":"10.1021\/acs.iecr.9b04594","volume":"58","author":"I.A. Udugama","year":"2019","unstructured":"Udugama, I.A., Camps, M.A., Taube, M.A., Thawita, C.,\nAnantpinijwatna, A., Mansouri, S.S., and Yu, W., Novel soft sensor for measuring and controlling\nproduct recovery in a high-purity, multicomponent, side-draw distillation column, Ind. Eng. Chem. Res., 2019, vol. 58, no. 43, pp. 20026\u201320035.\nhttps:\/\/doi.org\/10.1021\/acs.iecr.9b04594","journal-title":"Ind. Eng. Chem. Res."},{"key":"2366_CR4","doi-asserted-by":"publisher","unstructured":"Bo, C.M., Li, J., Sun, C.Y., and Wang, Y.R., The application of neural\nnetwork soft sensor technology to an advanced control system of distillation operation, Proc. Int. Joint Conf. Neural Networks (Portland, OR, 2003),\nvol. 2, pp. 1054\u20131058. https:\/\/doi.org\/10.1109\/IJCNN.2003.1223836","DOI":"10.1109\/IJCNN.2003.1223836"},{"issue":"3","key":"2366_CR5","doi-asserted-by":"publisher","first-page":"032001","DOI":"10.1088\/1361-6501\/ab4b39","volume":"31","author":"M. Vallejo","year":"2019","unstructured":"Vallejo, M., de la Espriella, C., G\u0443mez-Santamaria, J., Ramirez-Barrera, A.F.,\nand Delgado-Trejos, E., Soft metrology based on machine learning: A review, Meas. Sci. Technol., 2019, vol. 31, no. 3, p. 032001. https:\/\/doi.org\/10.1088\/1361-6501\/ab4b39","journal-title":"Meas. Sci. Technol."},{"key":"2366_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compchemeng.2010.07.034","volume":"35","author":"P. Kadlec","year":"2011","unstructured":"Kadlec, P., Gabrys, B., and Grbic, R., Review of adaptation mechanisms for\ndata-driven soft sensors, Comput. Chem. Eng., 2011,\nvol. 35, pp. 1\u201324.\nhttps:\/\/doi.org\/10.1016\/j.compchemeng.2010.07.034","journal-title":"Comput. Chem. Eng."},{"key":"2366_CR7","doi-asserted-by":"publisher","unstructured":"Curreri, F., Patan\u00e8, L., and Xibilia, M.G., Soft sensor transferability:\nA survey, Appl. Sci., 2021, vol. 11, no. 16, p. 7710.\nhttps:\/\/doi.org\/10.3390\/app11167710","DOI":"10.3390\/app11167710"},{"issue":"4","key":"2366_CR8","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MCI.2015.2471196","volume":"10","author":"G. Ditzler","year":"2015","unstructured":"Ditzler, G., Roveri, M., Alippi, C., and Polikar, R., Learning in nonstationary\nenvironments: A survey, IEEE Comput. Intell. Mag.,\n2015, vol. 10, no. 4, pp. 12\u201325.\nhttps:\/\/doi.org\/10.1109\/MCI.2015.2471196","journal-title":"IEEE Comput. Intell. Mag."},{"key":"2366_CR9","doi-asserted-by":"publisher","first-page":"106941","DOI":"10.1016\/j.compchemeng.2020.106941","volume":"140","author":"B. Alakent","year":"2020","unstructured":"Alakent, B., Soft sensor design using transductive moving window learner,\nComput. Chem. Eng., 2020, vol. 140, p. 106941.\nhttps:\/\/doi.org\/10.1016\/j.compchemeng.2020.106941","journal-title":"Comput. Chem. Eng."},{"key":"2366_CR10","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.compchemeng.2013.07.016","volume":"58","author":"H. Kaneko","year":"2013","unstructured":"Kaneko, H. and Funatsu, K., Adaptive soft sensor model using online support\nvector regression with time variable and discussion of appropriate hyperparameter settings and\nwindow size, Comput. Chem. Eng., 2013, vol. 58,\npp. 288\u2013297. https:\/\/doi.org\/10.1016\/j.compchemeng.2013.07.016","journal-title":"Comput. Chem. Eng."},{"key":"2366_CR11","doi-asserted-by":"publisher","unstructured":"Kaneko, H., Estimating the reliability of predictions in locally weighted partial\nleast-squares modeling, J. Chemometrics, 2021, p. e3364.\nhttps:\/\/doi.org\/10.1002\/cem.3364","DOI":"10.1002\/cem.3364"},{"key":"2366_CR12","doi-asserted-by":"crossref","unstructured":"Lu, J. and Zhao, N., Application of neural network algorithm in propylene\ndistillation, 2021.\narXiv:2104.01774.","DOI":"10.9734\/jerr\/2021\/v20i1217420"},{"key":"2366_CR13","volume-title":"Time Series Analysis: Forecasting and Control","author":"G.E.P. Box","year":"2016","unstructured":"Box, G.E.P., Jenkins, G.M., Reinsel, G.C., and Ljung, G.M., Time Series Analysis: Forecasting and Control, Hoboken, NJ:\nWiley, 2016."},{"issue":"8\u20139","key":"2366_CR14","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1002\/cem.800","volume":"17","author":"S. Qin","year":"2003","unstructured":"Qin, S., Statistical process monitoring: Basics and beyond, J. Chemometrics, 2003, vol. 17, no. 8\u20139, pp. 480\u2013502.\nhttps:\/\/doi.org\/10.1002\/cem.800","journal-title":"J. Chemometrics"},{"key":"2366_CR15","volume-title":"Teoriya veroyatnostei i matematicheskaya statistika (Theory of Probability and Mathematical Statistics)","author":"\u0410.\u041d. \u041a\u043e\u043b\u043c\u043e\u0433\u043e\u0440\u043e\u0432","year":"1986","unstructured":"Kolmogorov, A.N., On the empirical determination of the distribution law, in\nTeoriya veroyatnostei i matematicheskaya statistika\n(Theory of Probability and Mathematical Statistics), Prokhorov, Yu.V., Ed., Moscow: Nauka,\n1986, pp. 134\u2013141."},{"issue":"18","key":"2366_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v008.i18","volume":"8","author":"G. Marsaglia","year":"2003","unstructured":"Marsaglia, G., Tsang, W.W., and Wang, J., Evaluating Kolmogorov\u2019s\ndistribution, J. Stat. Software, 2003, vol. 8, no. 18,\npp. 1\u20134.","journal-title":"J. Stat. Software"},{"issue":"4","key":"2366_CR17","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1134\/S1064230719040075","volume":"58","author":"V.V. Klimchenko","year":"2019","unstructured":"Klimchenko, V.V., Samotylova, S.A., and Torgashov, A.Yu., Feedback in a\npredictive model of a reactive distillation process, J. Comput. Syst.\nSci. Int., 2019, vol. 58, no. 4, pp. 637\u2013647.\nhttps:\/\/doi.org\/10.1134\/S1064230719040075","journal-title":"J. Comput. Syst. Sci. Int."},{"issue":"10","key":"2366_CR18","doi-asserted-by":"publisher","first-page":"1774","DOI":"10.1134\/S0005117921100143","volume":"82","author":"O.Yu. Snegirev","year":"2021","unstructured":"Snegirev, O.Yu. and Torgashov, A.Yu., Adaptation of the structure and\nparameters of nonlinear soft sensors by the example of an industrial reactive distillation process,\nAutom. Remote Control, 2021, vol. 82, no. 10,\npp. 1774\u20131786. https:\/\/doi.org\/10.1134\/S0005117921100143","journal-title":"Autom. Remote Control"}],"container-title":["Automation and Remote Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1134\/S00051179220120104.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1134\/S00051179220120104","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1134\/S00051179220120104.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T22:36:31Z","timestamp":1773614191000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1134\/S00051179220120104"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":18,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["2366"],"URL":"https:\/\/doi.org\/10.1134\/s00051179220120104","relation":{},"ISSN":["0005-1179","1608-3032"],"issn-type":[{"value":"0005-1179","type":"print"},{"value":"1608-3032","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"8 February 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 March 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}