Automated algorithm for removing continuous flame spectrum based on sampled linear bases

L. Arias, Jorge E. Pezoa and Daniel Sbarbaro Hofer
WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY 63, 63 (2012)

ABSTRACT

In this paper, an automated algorithm to estimate and remove
the continuous baseline from measured spectra containing both
continuous and discontinuous bands is proposed. The algorithm uses
previous information contained in a Continuous Database Spectra
(CDBS) to obtain a linear basis, with minimum number of sampled
vectors, capable of representing a continuous baseline. The proposed
algorithm was tested by using a CDBS of flame spectra where Principal
Components Analysis and Non-negative Matrix Factorization
were used to obtain linear bases. Thus, the radical emissions of
natural gas, oil and bio-oil flames spectra at different combustion
conditions were obtained. In order to validate the performance in the
baseline estimation process, the Goodness-of-fit Coefficient and the
Root Mean-squared Error quality metrics were evaluated between the
estimated and the real spectra in absence of discontinuous emission.
The achieved results make the proposed method a key element in the
development of automatic monitoring processes strategies involving
discontinuous spectral bands.

DOI: http://dx.doi.org/



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