Towards intelligent ultrafiltration

Towards intelligent ultrafiltration


To better control fouling of ultrafiltration membranes, data mining techniques can be applied on everyday plant measurements to deduce the current fouling state of the membranes. In this project, principal component analysis (PCA) is applied to transmembrane pressure (TMP) data to characterise the severity as well as nature (reversible or irreversible) of the fouling. Temperature dependency is evaluated as well as correlation with other process parameters.

Project duration: 2013-05-01 - 2014-04-30


Project home page

No website available


Contact

Thomas Maere
Department of Applied Mathematics, Biometrics and Process Control
Coupure Links 653
9000 Gent

Tel: +32 (0)9 264 5937
Fax:
Email: thomas.maere@ugent.be


Last update: 01 december 2008, webmaster@biomath.ugent.be


  zoek print log in nederlands