On the Flame Spectrum Recovery by Using a Low-Spectral Resolution Sensor

  • Luis Arias
  • Sergio Torres
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7042)

Abstract

In this paper, the Maloney-Wandell and Imai-Berns recovering spectrum techniques are evaluated to extract the continuous flame spectrum, by using three principal components from training matrices constructed from a flame’s spectrum database. Six different sizes of training matrices were considered in the evaluation. To simulate the Maloney-Wandell and Imai-Bern methods, a commercial camera sensitivity was used as a base in the extraction process. The GFC (Goodness-of-fit coefficient) and RMSE (Root-mean-square error) quality metrics were used to compare the performance in the recovering process. The simulation results shown a better performance by using the Maloney-Wandell method in the recovering process, with small sizes of training matrices. The achieved results make of the recovering-spectral techniques a very attractive tools for designing advanced monitoring strategies for combustion processes.

Keywords

recovering techniques flame spectrum optical sensors 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Luis Arias
    • 1
  • Sergio Torres
    • 2
  1. 1.Department of Electrical EngineeringUniversity of ConcepcioConcepcionChile
  2. 2.Center for Optics and Photonics CEFOPUniversity of ConcepcionConcepcionChile

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