Monitoring industrial processes using the self-organizing map

Monitoring industrial processes using the self-organizing map

In this paper, three process monitoring methods based on the self-organizing map (SOM) are presented: trajectory display, fuzzy response and probabilistic response. These approaches are compared with each other and also demonstrated in two case studies: continuous pulping and hot rolling of steel st...

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Bibliographic Details
Published in:SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) pp. 22 - 27
Main Authors: Ahola, J., Alhoniemi, E., Simula, O.
Format: Conference Proceeding
Language:English
Published: IEEE 1999
Subjects:
Computerized monitoring
Displays
Kernel
Laboratories
Mathematical model
Organizing
Predictive models
Principal component analysis
Prototypes
Steel
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Summary:In this paper, three process monitoring methods based on the self-organizing map (SOM) are presented: trajectory display, fuzzy response and probabilistic response. These approaches are compared with each other and also demonstrated in two case studies: continuous pulping and hot rolling of steel strips.
ISBN:0780352807
9780780352803
DOI:10.1109/SMCIA.1999.782702