Automated Algorithm for Removing Continuous Flame Spectrum Based On Sampled Linear Bases
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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.
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References
- C. Martins, J. Carvalho, and M. Ferreira, "CH and C2 radicals characterization in natural gas turbulent diffusion flames," Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 27, no. 2, pp. 110- 118, 2005.
- N. Docquier, S. Belhalfaoui, F. Lacas, N. Darabiha, and C. Rolon, "Experimental and numerical study of chemiluminescence in methane/air high-pressure flames for active control applications," Proceeding of the combustion institute, vol. 28, pp. 1765-1774, 2000.
- G. Zizak, "Flame emission spectroscopy: Fundamentals and applications," Instituto per la Tecnologia dei Materiali e dei Processi Energitici, Tech. Rep., 2000, iCS training course on laser diagnostics of combustion processes, NILES, University of Cairo, Egypt.
- L. Arias, S. Torres, D. Sbarbaro, and P. Ngendakumana, "On the spectral band measurements for combustion monitoring," Combustion and Flame, vol. 158, pp. 423-433, 2011.
- G. Schulze, A. Jirasek, M. Yu, A. Lim, R. Turner, and M. Blades, "Investigation of selected baseline removal techniques as candidates for automated implementation," Appl. Spectrosc., vol. 59, no. 5, pp. 545- 574, 2005.
- A. G. Gaydon and H. G. Wolfhard, The spectroscopy of flames, 1st ed. Chapman and Hall LTD., 1957.
- P. Ngendakumana, B. Zuo, and E. Winandy, "A spectroscopic study of flames for a pollutant formation regulation in a real oil boiler," Proc. 2th Int-l Conf. on Tech. and Combustion for a Clean Environment, 1993.
- Y. Kojima, Y. Ikeda, and T. Nakajima, "Basic aspect of oh(a), ch(a) and c2(d) chemiluminiscence in the reaction zone of laminar methane-air premixed flames," Combustion and Flame, vol. 140, pp. 34-45, 2004.
- Y. Hardalupas, M. Orain, C. Panoutsos, A. Taylor, J. Olofsson, H. Seyfried, M. Richter, J. Hult, M. Alden, F. Hermann, and J. Klingmann, "Chemiluminescence sensor for local equivalence ratio of reacting mixtures of fuel and air (flameseek)," Applied Thermal Engineering, vol. 24, pp. 1619-1632, 2004. [10] L. Shao and P. Griffiths, "Automatic baseline correction by wavelet transform for quantitative open-path fourier transform infrared spectroscopy," Environ. Sci. Technol., vol. 41, no. 20, pp. 7054-7059, 2007. [11] M. Lopez, J. Hern'andez, E. Valero, and J. Romero, "Selecting algorithms, sensors, and linear bases for optimum spectral recovery of skylight," J. Opt. Soc. Am., vol. 24, no. 4, pp. 942-956, 2007. [12] P. Courrieu, "Fast computation of moore-penrose inverse matrices," Neural Information Processing, vol. 8, no. 2, pp. 25-29, 2005. [13] F. Imai, M. Rosen, and R. Berns, "Comparative study of metrics for spectral match quality," CGIV First European Conference on Colour Graphics, Imaging, and Vision, pp. 492-496, 2002. [14] M. Lopez, J. Hern'andez, E. Valero, and J. Nieves, "Colorimetric and spectral combined metric for the optimization of multispectral systems," Proceeding of the 10th Congress of the International Colour Association (AIC05), pp. 1685-1688, 2005. [15] J. L. Nieves, E. M. Valero, J. Hernandez, and J. Romero, "Recovering fluorescent spectra with an rgb digital camera and color filters using different matrix factorizations," Appl. Opt., vol. 46, no. 19, pp. 4144- 4154, 2007.