Title :
Monitoring industrial processes using the self-organizing map
Author :
Ahola, Jussi ; Alhoniemi, Esa ; Simula, Olli
Author_Institution :
Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
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
Keywords :
fuzzy logic; hot rolling; probability; process monitoring; self-organising feature maps; steel industry; case studies; continuous pulping; fuzzy response; industrial process monitoring; probabilistic response; self-organizing map; steel strip hot rolling; trajectory display; Computerized monitoring; Displays; Kernel; Laboratories; Mathematical model; Organizing; Predictive models; Principal component analysis; Prototypes; Steel;
Conference_Titel :
Soft Computing Methods in Industrial Applications, 1999. SMCia/99. Proceedings of the 1999 IEEE Midnight-Sun Workshop on
Conference_Location :
Kuusamo
Print_ISBN :
0-7803-5280-7
DOI :
10.1109/SMCIA.1999.782702
