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Data-driven digital twin technology for optimized control in process systems.

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第一作者： Rui,He

第一单位： Centre for Offshore Engineering and Safety Technology (COEST), China University of Petroleum (East China), No.66, Changjiang West Road, Qingdao, China. Electronic address: hr_0125@163.com.

作者： Rui,He ^[1] ; Guoming,Chen ^[2] ; Che,Dong ^[3] ; Shufeng,Sun ^[4] ; Xiaoyu,Shen ^[5]

作者单位： Centre for Offshore Engineering and Safety Technology (COEST), China University of Petroleum (East China), No.66, Changjiang West Road, Qingdao, China. Electronic address: hr_0125@163.com. ^[1] Centre for Offshore Engineering and Safety Technology (COEST), China University of Petroleum (East China), No.66, Changjiang West Road, Qingdao, China. Electronic address: offshore@126.com. ^[2] Centre for Offshore Engineering and Safety Technology (COEST), China University of Petroleum (East China), No.66, Changjiang West Road, Qingdao, China. Electronic address: 1292526464@qq.com. ^[3] Centre for Offshore Engineering and Safety Technology (COEST), China University of Petroleum (East China), No.66, Changjiang West Road, Qingdao, China. Electronic address: 1206677863@qq.com. ^[4] Centre for Offshore Engineering and Safety Technology (COEST), China University of Petroleum (East China), No.66, Changjiang West Road, Qingdao, China. Electronic address: 1369526586@qq.com. ^[5]

关键词 Data-driven methods Digital twin Optimized control configuration Process monitoring and diagnosis Tennessee Eastman process

DOI 10.1016/j.isatra.2019.05.011

PMID 31109723

发布时间 2019-12-17

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