Spectrometer-based combustion monitoring for flame stoichiometry and temperature control

Romero, Carlos E.; Li, Xian Chang; Keyvan, Shahla; Rossow, Rodney

doi:10.1016/j.applthermaleng.2004.07.020

Cited by 72 publications

(33 citation statements)

References 15 publications

(15 reference statements)

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“…The flame temperature appears, among others, as a very important parameter to be monitored (Romero et al, 2005;Thakur et al, 2001;Liu and Jiang, 2001;Lu et al, 2004). Usually thermocouples have been used but are intrusive and disturb the measurement, and they must undergo the harsh furnace environment also.…”

Section: Introductionmentioning

confidence: 99%

Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem

García-Cuesta¹,

Galván²,

Castro³

2008

Engineering Applications of Artificial Intelligence

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In this paper, a combustion temperature retrieval approximation for high-resolution infrared ground-based measurements has been developed based on a multilayer perceptron (MLP) technique. The introduction of a selection subset of features is mandatory due to the problems related to the high dimensionality data and the worse performance of MLPs with this high input dimensionality. Principal component analysis is used to reduce the input data dimensionality, selecting the physically important features in order to improve MLP performance. The use of a priori physical information over other methods in the chosen feature's phase has been tested and has appeared jointly with the MLP technique as a good alternative for this problem. r

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Section: Introductionmentioning

confidence: 99%

Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem

García-Cuesta¹,

Galván²,

Castro³

2008

Engineering Applications of Artificial Intelligence

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“…In particular, the massive use of radiometric techniques [3,4,7,10,11,22] has contributed to a better understanding of the combustion processes. It is known that in the reaction zone of hydrocarbon flames, the oxygen of the air reacts with the fuel to liberate the chemical energy stored in the molecular bond.…”

Section: Introductionmentioning

confidence: 99%

A measuring method based on photodiodes for the diagnostic of optimal combustion conditions

Arias¹,

Farías²,

Torres³

et al. 2008

WIT Transactions on Engineering Sciences

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A non-intrusive method for monitoring flames in gas burners is presented. The method is based on the optical analysis of the flame by using a Silicon Photodiodes array and a set of interference optical filters. The covered wavelengths evaluate the formation and behaviour of excited CH* and C 2 * radicals for confined gas flames. The monitoring of these radicals is carried out in the flame reaction region at the burner exit, where the C 2 */CH* ratio signals provide enough information to identify the optimal fuel-air ratio in order to obtain the boiler maximal efficiency and to prevent an incomplete combustion. The experimental results obtained for two power levels, in a boiler of 150 kW, demonstrate that the C 2 */CH* ratio provides important information concerning the combustion state and gives a clear indication about the burner adjustment when CO emissions begin to increase to the upper the levels accepted by environmental laws. The fast response and its non-intrusive character give to the proposed optical sensor an important potential to be used in advanced control strategies for the on-line optimization of the combustion process.

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“…In this context it is very important to have devices that monitor and control the combustion process in order to minimise pollutant emissions as well as to optimise energy losses. Flame temperature appears, among others, as a very important parameter to be monitored [1] [2][3] [4].…”

Section: Introductionmentioning

confidence: 99%

Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles

García-Cuesta

Galván

Castro

2006

Intelligent Data Engineering and Automated Learning – IDEAL 2006

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Abstract. The use of high spectral resolution measurements to obtain a retrieval of certain physical properties related with the radiative transfer of energy leads a priori to a better accuracy. But this improvement in accuracy is not easy to achieve due to the great amount of data which makes diff cult any treatment over it and it's redundancies. To solve this problem, a pick selection based on principal component analysis has been adopted in order to make the mandatory feature selection over the different channels. In this paper, the capability to retrieve the temperature prof le in a combustion environment using neural networks jointly with this spectral high resolution feature selection method is studied.

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Spectrometer-based combustion monitoring for flame stoichiometry and temperature control

Cited by 72 publications

References 15 publications

Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem

Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem

A measuring method based on photodiodes for the diagnostic of optimal combustion conditions

Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles

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