[ ] SIENA

Stimulation Initiative for European Neural Applications

Esprit Project 9811



Case Studies of Successful Applications



Substitution of Analysers in Distillation Columns

Company background

No information available

The problem

Aside from sophisticated regulation technology, exact realtime information about the process is necessary to regulate the purity of a distillation column's product. The use of analysers would be the ideal solution to capture this information but in practice their application is hampered by high costs and deadlines up to 30 minutes.

Neural network application

An alternative method to expensive analysers is given by the application of neural networks, learning the connection between the column's pressure and temperature and the result of the analysis.

Benefits

If the initial data is both -free of errors and consistent- the error of prediction achieved by the neural net is less than 0.2%: A result surpassing the accuracy of analyzers or any other conventional method.

Contact person

Roland Kühne GmbH, Hellersbergstraße 10b, D-41460 Neuss. Phone: +49 2132 163-3