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A TOOLBOX FOR ON-LINE PROCESS MONITORING WITH SOME INDUSTRIAL APPLICATIONS
S-L. Jämsä-Jounela, M. Vermasvuori, S. Haavisto, P. Endén
Laboratory of Process Control and Automation, Helsinki University of Technology,
P.O. Box 6100, FIN-02015 HUT, Finland
On-line process monitoring with fault detection can provide stability and efficiency for a wide range of processes. A toolbox for on-line monitoring using Kohonen self-organizing maps (SOM), in conjunction with heuristic rules is described in this paper. Four different industrial applications using the toolbox are presented and discussed at the end of the paper.
Keywords: Neural networks, rule based systems, fault detection computer software, computer application
Session slot T-Fr-M21: Posters of Mining, Power Systems and Fault Detection/Area code 7e : Fault Detection, Supervision and Safety of Technical Processes
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