DocumentCode
3038911
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
fYear
1999
fDate
1999
Firstpage
22
Lastpage
27
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SMCIA.1999.782702
Filename
782702
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