Combustion Regime Monitoring by Flame Imaging and Machine Learning

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)513-519
Number of pages7
JournalOptoelectronics, Instrumentation and Data Processing
Issue number5
Publication statusPublished - 1 Sep 2018


  • computer training
  • convolutional neural network
  • flame
  • image classification
  • monitoring


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