报告题目：Big Data and Process Quality-relevant Monitoring
报告人：秦泗钊
时间：10月22日 8:30~9:30
地点：科学会堂二楼会议室
参加对象：教师和研究生
Abstract:Process monitoring provides supervision of process operations so that abnormal operating conditions can be detected, diagnosed, and proper adjustment can be implemented as needed. The main purpose is to reduce process variability under real-world operating conditions with the use of real time data. A focus of this seminar is on recent rising interest of big data and the use of multivariate statistical methods for efficient data-driven quality-relevant process monitoring.