Batch Process Monitoring by Three-way Data Analysis Approach

Ndeye Niang Keita (1) , Flavio Fogliatto (2) , Gilbert Saporta (1)

1 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage
2 UFRGS - Universidade Federal do Rio Grande do Sul [Porto Alegre]

We propose a non parametric quality control strategy based on the three way method STATIS and convex hull peeling for monitoring batch processes with constant or variable duration. The method is illustrated on a simulated data set and on a real one.

Mots clés: Batch process; STATIS method; Multivariate quality control

Domaines: Statistiques [math.ST]; Sciences de l'ingénieur [physics]

Ndeye Niang Keita, Flavio Fogliatto, Gilbert Saporta. Batch Process Monitoring by Three-way Data Analysis Approach. ASMDA'09 XIII International Conference on Applied Stochastic Models and Data Analysis, Jul 2009, Vilnius, Lithuania. pp.294-298. ⟨hal-01125669⟩