As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
In this paper a statistical based methodology to work over the principal component space on injection moulds is presented. The Multiway Principal Component Analysis is applied as a dimensionality reduction step, and fault detection assessment. This methodology allowed to analyse the behaviour of injections with the information directly received from sensors, what ended in a better process understanding. Results concluded that with a low number of variables (some principal components and two control statistics) is enough to detect abnormalities (too short injections, injections with low variability, etc.).