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Passive Open-Path FTIR Measurements and Spectral Interpretations for in situ Gas Monitoring and Process Diagnostics

100%
Cięszczyk S.
Acta Physica Polonica A
|
2014
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vol. 126
|
issue 3
673-679
EN
This article aims to present the possibilities for the passive spectral measurements and qualitative interpretations of inside-the-object gases. The basic features and applications of open-path Fourier transform infrared spectroscopy for measuring atmospheric and process exhaust gases are discussed. Methods for modelling and interpreting the spectra used for in situ measurements are presented. As an example, a spectrum simulation was investigated using CO_2, a gas present in substantial quantities in various exhaust gases. The spectrum varied significantly with temperature allowing its use for diagnostics purposes. Thus, examples of measurements made using passive transmission with a heated object as a radiation source are presented. A baseline correction procedure was necessary to obtain a transmission (or absorbance) spectrum. The gas content and temperature were determined based on these measurements.
2
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Non-Luminous Flame Temperature Determination Method Based on CO_{2} Radiation Intensity

100%
Cięszczyk S.
Acta Physica Polonica A
|
2014
|
vol. 126
|
issue 6
1235-1240
EN
A new method for estimating the temperature of non-luminous flames is presented. The spectral radiation intensity emitted from uniform or temperature-axisymmetric CO_{2} gas is simulated. A new inversion scheme that utilizes intensity ratios instead of directly spectral intensities is applied. This technique eliminates the errors caused by inaccuracies in the absolute radiation intensity that result from both calibration and on-site measurement. For example, this situation can occur when a spectrometer acquires radiance within only a part of its field of view. Neural networks are used as inverse models. The proposed inversion approach shows good results with simulated data. The analysis of example measured emission spectra from practical flames is also demonstrated.
3
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Influence of temperature on synthetic data-based calibration models for low resolution open-path FTIR spectroscopy

100%
Cięszczyk S.
Bulletin of the Polish Academy of Sciences: Technical Sciences
|
2014
|
issue 1
4
Content available remote

Inversion of Remote Sensing Data Using Multiple Ratios of Spectral Radiation Intensities and Neural Networks

100%
Cięszczyk S.
Acta Physica Polonica A
|
2017
|
vol. 131
|
issue 6
1454-1459
EN
The article presents a method for determining the content and temperature on the basis of spectra from remote measurements. The technique uses measurements of a high resolution radiation spectrum that allows the visibility of the individual rotational lines of gases such as CO₂, used here in the range of 2470-2495 cm¯¹. At the same time a new algorithm is applied of pre-processing the spectrum, involving the use of multiple ratios of intensity at several wavenumbers as input to an inverse model based on neural networks. Due to it, the dimensionality of the input can significantly be reduced. Additionally, the data interpreted do not have to be measured in units of spectral radiance. Thus only the calibration of the sensitivity of the spectrometer at various wavelengths is required. The neural models were constructed on the basis of data from the simulation. The proposed method works with a uniform layer of radiating gas for determining the temperature and CO₂ content. For a non-uniform layer it is possible to determine the line-of-sight temperature profile and average gas content. The method can be extended to different spectral ranges and to other gases present in substantial quantities in the exhaust gases of various processes.
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