Mathematical modeling for SnO2 gas sensor based on second-order response
Sensors, work on the entrance gate for exploring dynamic environments and system response. The sensor behavior plays an important role in system modeling. Therefore, finding the mathematical model, which can describe the sensor response with maximum information over time in different environments an...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/44912/ http://psasir.upm.edu.my/id/eprint/44912/1/Mathematical%20modeling%20for%20SnO2%20gas%20sensor%20based%20on%20second-order%20response.pdf |
| _version_ | 1848850469022072832 |
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| author | Moshayedi, Ata Jahangir Toudeshki, Arash Mohammadi Gharpure, Dayamanti C. |
| author_facet | Moshayedi, Ata Jahangir Toudeshki, Arash Mohammadi Gharpure, Dayamanti C. |
| author_sort | Moshayedi, Ata Jahangir |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Sensors, work on the entrance gate for exploring dynamic environments and system response. The sensor behavior plays an important role in system modeling. Therefore, finding the mathematical model, which can describe the sensor response with maximum information over time in different environments and situations, is necessary. This paper, attempts to model the optimal transfer function of the SnO2 type gas sensor (TGS 813) for transient response and steady-state zones, based on the acquired data of the sensor. The model could be used to obtain the mathematical equation for the response, as a transfer function based on different concentrations, for the specific temperature and humidly. The data analysis has been done with Matlab software, and Genetic algorithm is further used to optimize the transfer function parameters. Moreover, the effect of variation in concentration on the transfer function coefficients has been explored. The results show that the modeling can be helpful for sensor response behavior simulation as well as physical and chemical reaction investigation. |
| first_indexed | 2025-11-15T10:06:47Z |
| format | Conference or Workshop Item |
| id | upm-44912 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:06:47Z |
| publishDate | 2013 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-449122020-08-04T02:37:49Z http://psasir.upm.edu.my/id/eprint/44912/ Mathematical modeling for SnO2 gas sensor based on second-order response Moshayedi, Ata Jahangir Toudeshki, Arash Mohammadi Gharpure, Dayamanti C. Sensors, work on the entrance gate for exploring dynamic environments and system response. The sensor behavior plays an important role in system modeling. Therefore, finding the mathematical model, which can describe the sensor response with maximum information over time in different environments and situations, is necessary. This paper, attempts to model the optimal transfer function of the SnO2 type gas sensor (TGS 813) for transient response and steady-state zones, based on the acquired data of the sensor. The model could be used to obtain the mathematical equation for the response, as a transfer function based on different concentrations, for the specific temperature and humidly. The data analysis has been done with Matlab software, and Genetic algorithm is further used to optimize the transfer function parameters. Moreover, the effect of variation in concentration on the transfer function coefficients has been explored. The results show that the modeling can be helpful for sensor response behavior simulation as well as physical and chemical reaction investigation. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/44912/1/Mathematical%20modeling%20for%20SnO2%20gas%20sensor%20based%20on%20second-order%20response.pdf Moshayedi, Ata Jahangir and Toudeshki, Arash Mohammadi and Gharpure, Dayamanti C. (2013) Mathematical modeling for SnO2 gas sensor based on second-order response. In: 2013 IEEE Symposium on Industrial Electronics & Applications (ISIEA2013), 22-25 Sept. 2013, Pullman Kuching Hotel, Kuching, Sarawak. (pp. 33-38). 10.1109/ISIEA.2013.6738963 |
| spellingShingle | Moshayedi, Ata Jahangir Toudeshki, Arash Mohammadi Gharpure, Dayamanti C. Mathematical modeling for SnO2 gas sensor based on second-order response |
| title | Mathematical modeling for SnO2 gas sensor based on second-order response |
| title_full | Mathematical modeling for SnO2 gas sensor based on second-order response |
| title_fullStr | Mathematical modeling for SnO2 gas sensor based on second-order response |
| title_full_unstemmed | Mathematical modeling for SnO2 gas sensor based on second-order response |
| title_short | Mathematical modeling for SnO2 gas sensor based on second-order response |
| title_sort | mathematical modeling for sno2 gas sensor based on second-order response |
| url | http://psasir.upm.edu.my/id/eprint/44912/ http://psasir.upm.edu.my/id/eprint/44912/ http://psasir.upm.edu.my/id/eprint/44912/1/Mathematical%20modeling%20for%20SnO2%20gas%20sensor%20based%20on%20second-order%20response.pdf |