• 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