Multivariate statistical process control; example from the chemical process industry

✍ Scribed by Tordis E. Morud

• Publisher: John Wiley and Sons
• Year: 1996
• Tongue: English
• Weight: 355 KB
• Volume: 10
• Category: Article
• ISSN: 0886-9383
• DOI: 10.1002/(sici)1099-128x(199609)10:5/6<669::aid-cem467>3.0.co;2-q

✦ Synopsis

This paper describes an application of multivariate statisticai methods with the aim to improve the production of titanium dioxide at Kronos Titan AS. Multivariate statisticai methods were used to make a PLS model of one process stage. This model was then used to predict the product quality as a function of the chemicai variables analysed in the laboratory. New process data were plotted using multivariate charts. An example shows trends and deviations from the normal operating region. Probable reasons for the deviations are indicated.