@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},
	}