Big Data and Process Quality-relevant Monitoring

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.