自动化学报2023，Vol.49Issue(8)：1621-1634,14.DOI:10.16383/j.aas.c201035
基于静-动态特性协同感知的复杂工业过程运行状态评价
Evaluation of Complex Industrial Process Operating State Based on Static-dynamic Cooperative Perception
摘要
关键词
复杂工业过程/运行状态评价/静-动态特性协同/慢特征分析/稀疏学习Key words
Complex industrial process/operation performance assessment/static-dynamic cooperative/slow fea-ture analysis(SFA)/sparse learning引用本文复制引用
褚菲,许杨,尚超,王福利,高福荣,马小平..基于静-动态特性协同感知的复杂工业过程运行状态评价[J].自动化学报,2023,49(8):1621-1634,14.基金项目
国家自然科学基金(61973304,62003187,62073060,61873049),江苏省科技计划项目(BK20191339),江苏省六大人才高峰项目(DZXX-045),徐州市科技创新计划项目(KC19055),矿冶过程自动控制技术国家重点实验室开放课题(BGRIMM-KZSKL-2019-10)资助Supported by National Natural Science Foundation of China(61973304,62003187,62073060,61873049),Jiangsu Science and Technology Plan Project(BK20191339),Six Talent Peak Projects of Jiangsu Province(DZXX-045),Science and Techno-logy Innovation Plan Project of Xuzhou(KC19055),and Open Foundation of State Key Laboratory of Process Automation in Mining and Metallurgy(BGRIMM-KZSKL-2019-10) （61973304,62003187,62073060,61873049）
