The Chemometrics Tools for Process Monitoring School aims at furnishing the basis of process monitoring and how to approach this task. In particular, attention will be devoted to industrial context at a complexity level which requires a multivariate approach to statistical process control to gain insight into process dynamic.
To this aim the School will furnish:
The basis of Principal Component Analysis (PCA) and Partial Least Squares Regression (PLS) as optional day (6 February) for those who are not familiar with these methods
The basic concept of classical control chart methodology
How to obtain and use Multivariate Control Charts(MCC)
Illustrate the case of continuous and batch processes with its own peculiarities with respect to process understanding, monitoring and fault detection
Present and Discuss case study applications