DocumentCode :
1648579
Title :
A self-organizing approach for integrating multidimensional sensors in process control
Author :
Sbarbaro, D. ; Johansen, T.A.
Author_Institution :
Dept. of Electr. Eng., Univ. de Concepcion, Chile
Volume :
1
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
925
Lastpage :
928
Abstract :
Multidimensional sensors can deliver vast and rich information about the operation of industrial processes. They are popular at the supervisory level in industrial applications; however, their use at control level is not very common. There are no standard methodologies to design a control system based on the information provided by this type of sensors. This paper describes an approach,. based. on self-organizing maps or Kohonen´s networks, for integrating the information provided by multidimensional sensors in process control. A simulated example illustrates the main characteristics and performance of the proposed approach
Keywords :
neurocontrollers; process control; self-organising feature maps; sensor fusion; Kohonen network; multidimensional sensors; neural network; process control; self-organizing maps; sensor fusion; supervisory control level; Control systems; Design methodology; Electrical equipment industry; Industrial control; Multidimensional signal processing; Multidimensional systems; Process control; Sensor phenomena and characterization; Sensor systems; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
ISSN :
1098-7576
Print_ISBN :
0-7803-7278-6
Type :
conf
DOI :
10.1109/IJCNN.2002.1005598
Filename :
1005598
Link To Document :
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