An adaptive method for industrial hydrocarbon flame detection

@article{Huseynov2008AnAM,
  title={An adaptive method for industrial hydrocarbon flame detection},
  author={Javid J. Huseynov and Shankar B. Baliga and Alan Widmer and Zvi Boger},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2008},
  volume={21 2-3},
  pages={398-405}
}
An adaptive method for an infrared (IR) hydrocarbon flame detection system is presented. The model makes use of joint time-frequency analysis (JTFA) for feature extraction and the artificial neural networks (ANN) for training and classification. Multiple ANNs are trained independently on a computer, using the backpropagation conjugate-gradient (CG) method, with input data collected from various flame and non-flame nuisance signals at four different IR wavelengths. The trained ANN connection… CONTINUE READING
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