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...

Full description

Saved in:
Bibliographic Details
Published inSMCia/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
LanguageEnglish
Published IEEE 1999
Subjects
Computerized monitoring
Displays
Kernel
Laboratories
Mathematical model
Organizing
Predictive models
Principal component analysis
Prototypes
Steel
Online AccessGet full text

Cover

More Information
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