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A neural network model for blast furnace wall temperature pattern classification

  • Henrik Saxén
  • Leif Lassus
Conference paper

Abstract

A model for classification, visualization and interpretation of temperature distributions from the wall of the ironmaking blast furnace is presented. The model classifies the patterns using a self-organizing map and depicts the evolution of the distributions on the feature map, which is used as an operation diagram. The model has been implemented at the blast furnaces of a Finnish steelmaking company to improve the alertness of the operators and to help them to take appropriate control actions. The generic features of the models make it possible to apply the proposed classification method to different furnaces with only minor overhead for model tuning. Use of the classifications in operation diagrams is finally discussed.

Keywords

Blast Furnace Wall Temperature Blast Furnace Operation Model Tuning Operation Diagram 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Wien 1999

Authors and Affiliations

  • Henrik Saxén
    • 1
  • Leif Lassus
    • 2
  1. 1.Heat Engineering LaboratoryÅbo Akademi UniversityÅboFinland
  2. 2.TT Tieto Oy, TelecomHelsinkiFinland

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