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J. Schlüter, J. Neumann, A. Steiff, W. Schmitt, G. Hessel, K. v.d. Vorst, F.-P. Weiß

Early detection of undesired states of chemical plants using neural networks

The suitability of pattern recognition for safety diagnosis of chemical plants will be discussed. Therefore, experiments in a miniplant and with a process simulator are carried out. The process characteristics are treated with different recognition methods and classified with the aid of expert know how. Afterwards, the trained system can be used for process diagnosis. The capability of neural networks for this problem could be shown.

at – Automatisierungstechnik, Oldenbourg Wissenschaftsverlag

Print ISSN: 0178-2312
Volume: 46, 02/1998
Pages: 104

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