Combustion Regime Monitoring by Flame Imaging and Machine Learning

  • S. S. Abdurakipov
  • O. A. GobyzovEmail author
  • M. P. Tokarev
  • V. M. Dulin
Modeling in Physical and Technical Research


A method for automatic determination of combustion regimes using flame images on the basis of a convolutional neural network on labeled data is under consideration. It is shown that the accuracy of regime classification reaches 98% on the flame images of a gas burner. The results of the operation of the convolutional neural network and classification using different linear models are compared.


image classification monitoring computer training convolutional neural network flame 


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Copyright information

© Allerton Press, Inc. 2018

Authors and Affiliations

  • S. S. Abdurakipov
    • 1
    • 2
  • O. A. Gobyzov
    • 1
    • 2
    Email author
  • M. P. Tokarev
    • 1
    • 2
  • V. M. Dulin
    • 1
    • 2
  1. 1.Kutateladze Institute of Thermophysics, Siberian BranchRussian Academy of SciencesNovosibirskRussia
  2. 2.Novosibirsk State UniversityNovosibirskRussia

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