统计与大数据研究院讲座预告：Domain-specific Process Modeling via Sensing Signal Processing for System Improvement
中国人民大学课程研修班老师介绍，统计与大数据研究院将于11月10日举办学术讲座：Domain-specific Process Modeling via Sensing Signal Processing for System Improvement。希望广大学生及在职人士积极参与。
题目：Domain-specific Process Modeling via Sensing Signal Processing for System Improvement
演讲嘉宾：张玺 副教授 北京大学工程学院
Due to the rapid development of computing and information technologies, sensing signals are now widely used in advanced manufacturing and other operation systems for process monitoring. In this talk, I mainly focus on modeling such processes by analyzing the collected sensing signals and integrating the physical dynamics of the process. Specifically, two examples including the pipe connection process and grain storage, are discussed. In premium pipe connection processes, we consider the elastic mechanics for process condition identification while modeling the pipe connection process; in the grain storage case, a 3—D thermodynamics model and a stochastic process are combined for the temperature field estimation. Simulations and real case studies are performed in both cases, and results show that the proposed methods achieve satisfactory performance for process improvement.