Fourier analysis for the quantitative detection of carbon monoxide and hydrogen gases using metal oxide gas sensor array
The project aims to propose a Fourier approach and spectral analysis to predict the pure and mixture gas concentration quantitatively using cheap sensors which do not have the stability and reproducibility. In this analysis, various practical limitations on manual gas injection, glitches in the data...
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sg-ntu-dr.10356-132502023-07-04T16:02:36Z Fourier analysis for the quantitative detection of carbon monoxide and hydrogen gases using metal oxide gas sensor array Khaw, Eng Cheng. Birlasekaran School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The project aims to propose a Fourier approach and spectral analysis to predict the pure and mixture gas concentration quantitatively using cheap sensors which do not have the stability and reproducibility. In this analysis, various practical limitations on manual gas injection, glitches in the data due to the hardware, inconsistent recovery of sensor and drifting problems were taken into account. Several signal processing techniques of Fast Fourier Transform (FFT) were applied such as: interpolation, truncation, periodization and normalization on the finite time response of resistance/conductance variation. In this project, five methods were evaluated and then a FFT model based on conductance time-response characterization was selected for extensive analysis.on better prediction. Master of Science (Consumer Electronics) 2008-08-25T09:13:47Z 2008-10-20T07:21:32Z 2008-08-25T09:13:47Z 2008-10-20T07:21:32Z 1998 1998 Thesis http://hdl.handle.net/10356/13250 en 218 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Khaw, Eng Cheng. Fourier analysis for the quantitative detection of carbon monoxide and hydrogen gases using metal oxide gas sensor array |
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The project aims to propose a Fourier approach and spectral analysis to predict the pure and mixture gas concentration quantitatively using cheap sensors which do not have the stability and reproducibility. In this analysis, various practical limitations on manual gas injection, glitches in the data due to the hardware, inconsistent recovery of sensor and drifting problems were taken into account. Several signal processing techniques of Fast Fourier Transform (FFT) were applied such as: interpolation, truncation, periodization and normalization on the finite time response of resistance/conductance variation. In this project, five methods were evaluated and then a FFT model based on conductance time-response characterization was selected for extensive analysis.on better prediction. |
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Birlasekaran |
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Birlasekaran Khaw, Eng Cheng. |
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Theses and Dissertations |
author |
Khaw, Eng Cheng. |
author_sort |
Khaw, Eng Cheng. |
title |
Fourier analysis for the quantitative detection of carbon monoxide and hydrogen gases using metal oxide gas sensor array |
title_short |
Fourier analysis for the quantitative detection of carbon monoxide and hydrogen gases using metal oxide gas sensor array |
title_full |
Fourier analysis for the quantitative detection of carbon monoxide and hydrogen gases using metal oxide gas sensor array |
title_fullStr |
Fourier analysis for the quantitative detection of carbon monoxide and hydrogen gases using metal oxide gas sensor array |
title_full_unstemmed |
Fourier analysis for the quantitative detection of carbon monoxide and hydrogen gases using metal oxide gas sensor array |
title_sort |
fourier analysis for the quantitative detection of carbon monoxide and hydrogen gases using metal oxide gas sensor array |
publishDate |
2008 |
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http://hdl.handle.net/10356/13250 |
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1772828606035132416 |