Search
Abstract
A periodic temperature modulation using sinusoidal heater voltage was applied to a commercial SnO2 semiconductor gas sensor. Resulting resistance response of the sensor was analyzed using a feature extraction method based on Fast Fourier Transformation (FFT). The amplitudes of the higher harmonics of the FFT from the dynamic nonlinear responses of measured gas were further utilized as an input for Artificial Neural Network (ANN). Determination of the concentration of chlorine was performed. Moreover, this work evaluates the sensor performance upon sinusoidal temperature modulation.
Citations
-
0
CrossRef
-
0
Web of Science
-
3
Scopus
Authors (4)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 14th International Conference on Optical and Electronic Sensors
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Woźniak Ł., Kalinowski P., Jasiński G., Jasiński P..: Determination of chlorine concentration using single temperature modulated semiconductor gas sensor, W: 14th International Conference on Optical and Electronic Sensors, 2016, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1117/12.2248025
- Verified by:
- Gdańsk University of Technology
seen 115 times