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Industrial application of neural networks - an investigation

Lookup NU author(s): Professor Gary Montague

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Abstract

This paper summarises a 2-year industrial investigation into the application of artificial neural networks in the area of process monitoring and control. The investigation was a collaborative programme between the University of Newcastle-upon-Tyne, EDS and 24 UK based international companies. Descriptions of the major activities undertaken in this programme, which included the application of neural networks for fault detection in a vitrification process and the model based predictive control of a gasoline engine are provided. The paper also describes some of the practical difficulties that were experienced while applying neural networks and lists the important lessons that were learned through the completion of this project. The main conclusion from the work was that neural networks are capable of improving industrial process monitoring and control systems. However. the level of improvement must be analysed on a problem specific basis and in many applications the use of neural networks may not be justified. (C) 2001 Elsevier Science Ltd. All rights reserved.

Publication metadata

Author(s): Montague GA; Lennox B; Frith AM; Gent C; Bevan V

Publication type: Article

Publication status: Published

Journal: Journal of Process Control

Year: 2001

Volume: 11

Issue: 5

Pages: 497-507

ISSN (print): 0959-1524

ISSN (electronic): 1873-2771

Publisher: Elsevier

URL: http://dx.doi.org/10.1016/S0959-1524(00)00027-5

DOI: 10.1016/S0959-1524(00)00027-5

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