A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes

作     者：Jiang, Yuchen Yin, Shen Dong, Jingwei Kaynak, Okyay 

作者机构：Harbin Inst Technol Dept Control Sci & Engn Harbin 150001 Peoples R China Tech Univ Munich Chair Automat Control Engn D-80333 Munich Germany Delft Univ Technol Delft Ctr Syst & Control NL-2628 CD Delft Netherlands Bogazici Univ Dept Elect & Elect Engn TR-34342 Istanbul Turkey Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China 

出 版 物：《IEEE SENSORS JOURNAL》 (IEEE传感器杂志)

年 卷 期：2021年第21卷第11期

页      面：12868-12881页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术] 0702[理学-物理学] 

基　　金：National Natural Science Foundation of China Fok Ying Tung Education Foundation National Defense Basic Scientific Research Program of China [JCKY2017212C005] 

主　　题：Soft sensor soft sensing process monitoring optimization and control industrial process 

摘      要：Over the past twenty years, numerous research outcomes have been published, related to the design and implementation of soft sensors. In modern industrial processes, various types of soft sensors are used, which play essential roles in process monitoring, control and optimization. Emerging new theories, advanced techniques and the information infrastructure have enabled the elevation of the performance of soft sensing. However, novel opportunities are accompanied by novel challenges. This work is motivated by these observations and aims to present a comprehensive review of the developments since the start of the millennium. While a few books and review articles are published on the related topics, more focus on the most up-to-the-date advancement is put in this work, from the perspective of systems and control.