A process monitoring system based on the Kohonen self-organizing maps

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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en

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Control Engineering Practice, Volume 11, issue 1, pp. 83-92

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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 will be described and some application results from the Outokumpu Harjavalta smelter will be discussed. The system monitors process states using neural networks (Kohonen self-organizing maps, SOMs) in conjunction with heuristic rules, which are also used to detect equipment malfunctions.

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Jämsä-Jounela, S-L, Vermasvuori, M, Endén, P & Haavisto, S 2003, 'A process monitoring system based on the Kohonen self-organizing maps', Control Engineering Practice, vol. 11, no. 1, pp. 83-92.