Influence of temperature on synthetic data-based calibration models for low resolution open-path FTIR spectroscopy

Cięszczyk, S.

doi:10.2478/bpasts-2014-0004

Cited by 8 publications

(3 citation statements)

References 51 publications

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“…Recently, the influence of temperature on the accuracy of the gas determination was performed. In many papers [17][18][19] it was shown that even a few degrees of temperature difference can result in noticeable and significant errors. Therefore, various methods of temperature correction are created.…”

Section: Temperature Problem In Spectrometric Measurementmentioning

confidence: 98%

The influence of temperature non-uniformity on retrieval of gas concentration in OP-FTIR spectroscopy

Cięszczyk

2014

SPIE Proceedings

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Open-Path Fourier Transform Infrared FTIR gas measurement methods are commonly used in environmental monitoring. They are non-invasive and remote sensing techniques with relatively simple measuring setup. CLS (Classical Least Squares), PLS (Partial Least Squares) methods and HITRAN simulated data are often used for spectra analysis. Unfortunately, data interpretation in these type of measurement require sophisticated algorithms and expert knowledge as well. Recently, the effect of temperature influence on the determination of gas content is studied in many scientific papers. However, in practice, the temperature non-uniformity along the observed path can occurs apart from the temperature changes. In order to assess the effect of temperature variation and its non-uniformity absorption spectra simulation model is built. Then PLS models, based on synthetically generated data for different temperatures is created. Next, the effect of temperature influence on CO concentration was calculated together with the simulation spectra for temperature non-uniform optical path. For these spectra gas content were determined by using PLS models built for specific temperature. In our case the calibration model was built using synthetic spectra for different temperatures in 290-340 K range. Finally, it was shown that the constructed universal model is less sensitive to temperature nonuniformity than the classical one.

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Section: Temperature Problem In Spectrometric Measurementmentioning

confidence: 98%

The influence of temperature non-uniformity on retrieval of gas concentration in OP-FTIR spectroscopy

Cięszczyk

2014

SPIE Proceedings

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“…As a scattering phase function of the tissue, use was made of the Henyey -Greenstein function with the parameter g(λ). Modeling and approximation of spectral features is a commonly applied approach of data analysis in different kind of spectroscopic methods [9][10].…”

Section: Analytical Calculation Of Diffuse Reflectance Characteristicmentioning

confidence: 99%

Systems for real-time optical diagnostics of biological objects

et al. 2014

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“…Using Gaussian shape is natural in measuring spectra from illuminated FBGs [12] [13]. Techniques of fitting measured or simulated spectra are developing in some spectroscopy analysis [14] [15]. Relatively new method of detecting peak is using the neural networks [11] [16].…”

Section: Introductionmentioning

confidence: 99%

Accuracy improvement of Fiber Bragg Grating peak wavelength demodulation using wavelet transform and various center wavelength detection algorithms

Harasim

Кашаганова

Kussambayeva

2016

ELECTROTECHNICAL REVIEW

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The main feature of Fiber Bragg Gratings is that they perform a direct transformation of measured parameter into a shift in the center Bragg wavelength. This paper presents a possibility for extraction FBGs peak wavelength from spectra with high influence of noise by using wavelet transform. Spectra of tested FBG were measured in 20 points with different extending force applied to tested sample. Wavelet transform and various methods of center Bragg wavelength detection are jointly applied to improve wavelength detection accuracy. Experiment results shows that application of appropriate digital signal processing algorithms for denoising FBG spectra could greatly improve accuracy and linearity of fiber sensor processing characteristics.Streszczenie. Najważniejszą właściwością światłowodowych siatek Bragga (Fiber Bragg Gratings) jest liniowe przetwarzanie zmian mierzonej temperatury bądź odkształcenia na przesunięcie centralnej fali. Artykuł ten prezentuje możliwości wyznaczenia długości fali Bragga z widm silnie zaszumionych przy zastosowaniu transformaty Falkowej .Spectra rejestrowano w 20 punktach o różnych wartościach siły rozciągającej próbkę. Transformacja Falkowa oraz różne algorytmy wyszukiwania centralnej fali Bragga zostały zastosowane jednocześnie dla uzyskania poprawy precyzji wykreślania charakterystyki przetwarzania elementu mierzącego. Wyniki eksperymentu wskazują, że zastosowanie odpowiednich algorytmów cyfrowego przetwarzania sygnałów do widm FBG może w dużym stopniu poprawić dokładność wyznaczania charakterystyki przetwarzania światłowodowego czujnika. Poprawa dokładności demodulacji światłowodowych siatek Bragga dzięki użyciu transformaty falkowej i algorytmów detekcji centralnej długości fali Słowa kluczowe: Siatka Bragga, długość fali Bragga, transformata falkowa, czujnik naprężenia.

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Influence of temperature on synthetic data-based calibration models for low resolution open-path FTIR spectroscopy

Cited by 8 publications

References 51 publications

The influence of temperature non-uniformity on retrieval of gas concentration in OP-FTIR spectroscopy

The influence of temperature non-uniformity on retrieval of gas concentration in OP-FTIR spectroscopy

Systems for real-time optical diagnostics of biological objects

Accuracy improvement of Fiber Bragg Grating peak wavelength demodulation using wavelet transform and various center wavelength detection algorithms

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