@article{(Open Science Index):https://publications.waset.org/pdf/6570, title = {Automated Algorithm for Removing Continuous Flame Spectrum Based On Sampled Linear Bases}, author = {Luis Arias and Jorge E. Pezoa and Daniel Sbárbaro}, country = {}, institution = {}, 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. }, journal = {International Journal of Mechanical and Mechatronics Engineering}, volume = {6}, number = {3}, year = {2012}, pages = {632 - 639}, ee = {https://publications.waset.org/pdf/6570}, url = {https://publications.waset.org/vol/63}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 63, 2012}, }