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The use of Kohonen self-organizing maps in process monitoring

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4 Author(s)
Vermasvuori, M. ; Dept. of Process Control & Autom., Helsinki Univ. of Technol., Espoo, Finland ; Enden, P. ; Haavisto, S. ; Jamsa-Jounela, S.-L.

Process monitoring and fault diagnosis have been studied widely in recent years, and the number of industrial applications with encouraging results has grown rapidly. In the case of complex processes a computer aided monitoring enhances operators' possibilities to run the process economically. In this paper a fault diagnosis system is described and some application results from the Outokumpu Harjavalta smelter are discussed. The system monitors process states using neural networks (Kohonen self-organizing maps, SOM) in conjunction with heuristic rules, which are also used to detect equipment malfunctions.

Published in:

Intelligent Systems, 2002. Proceedings. 2002 First International IEEE Symposium  (Volume:3 )

Date of Conference:

2002