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. © 2011 Springer-Verlag.