Combining off-line and on-line information in process study using the self-organizing map (SOM)

Author

Laine, Sampsa J.

Author_Institution

Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Espoo, Finland

fYear

2001

fDate

2001

Firstpage

71

Lastpage

76

Abstract

This paper presents how process control problems can be studied and solved by combining offline and online information. Offline information is accurate and versatile, it is used to define the problem. Online information describes the state of the process in real time. The online variables containing information of the offline defined problem are selected using a variable selection algorithm. These variables are used to create an online observer of the problem. This observer can be used to solve process control problems. The main algorithms used in this paper are the variable selection technique and the self-organizing map (SOM). The methodology is illustrated using the case of the concentrator of the Outokumpu Hitura mine

Keywords

mining; neurocontrollers; observers; process control; real-time systems; self-organising feature maps; Outokumpu Hitura mine; concentrator; offline information; online information; online observer; process control; real time; self-organizing map; variable selection algorithm; variable selection technique; Clustering algorithms; Data mining; Expert systems; Feeds; Information science; Input variables; Laboratories; Lakes; Organizing; Process control;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing in Industrial Applications, 2001. SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on

Conference_Location

Blacksburg, VA

Print_ISBN

0-7803-7154-2

Type

conf

DOI

10.1109/SMCIA.2001.936731

Filename

936731