Modeling the effect of temperature on relative humidity sensing
Abstract
In this work we have established a mathematical function to model the influence of the ambient temperature, relative humidity and frequency on the change of impedance. The proposed empirical description is a combination of the power function (modeling the temperature effect) and a reverse-sigmoid function inspired by the three-parameter Weibull cumulative distribution function (modeling the relative humidity and frequency effects). This empirical model was validated by using our iron manganite (FeMnO3) thick film measurement data. The reduction of impedance of thick film samples with change in relative humidity in the range 30-90% was measured in a temperature and climatic chamber in the frequency range 42 Hz – 1 MHz at three ambient/working temperatures (25, 50 and 75 C). The obtained experimental data was successfully fitted using the specially tailored empirical model. Application of this model enables prediction of the iron manganite sensor performance for different temperatures b...oth within the confines of the analyzed temperature range (interpolation) and outside of it (extrapolation). Future development will include applying this model to analyzing the temperature influence on relative humidity sensing for other metal oxide sensing materials that have shown a similar dependence and in a wider ambient temperature range.
Keywords:
Modeling; Relative Humidity Sensing; Temperature; Frequency; Weibull model;Source:
Proceedings of the 46th International Spring Seminar on Electronics Technology (ISSE), May 10-14, 2023,Timisoara, Romania, 2023, 1-6-Publisher:
- IEEE
Funding / projects:
Collections
Institution/Community
Institut za multidisciplinarna istraživanjaTY - CONF AU - Nikolić, Maria Vesna AU - Mastilović, Sreten PY - 2023 UR - https://ieeexplore.ieee.org/document/10168374 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/2022 AB - In this work we have established a mathematical function to model the influence of the ambient temperature, relative humidity and frequency on the change of impedance. The proposed empirical description is a combination of the power function (modeling the temperature effect) and a reverse-sigmoid function inspired by the three-parameter Weibull cumulative distribution function (modeling the relative humidity and frequency effects). This empirical model was validated by using our iron manganite (FeMnO3) thick film measurement data. The reduction of impedance of thick film samples with change in relative humidity in the range 30-90% was measured in a temperature and climatic chamber in the frequency range 42 Hz – 1 MHz at three ambient/working temperatures (25, 50 and 75 C). The obtained experimental data was successfully fitted using the specially tailored empirical model. Application of this model enables prediction of the iron manganite sensor performance for different temperatures both within the confines of the analyzed temperature range (interpolation) and outside of it (extrapolation). Future development will include applying this model to analyzing the temperature influence on relative humidity sensing for other metal oxide sensing materials that have shown a similar dependence and in a wider ambient temperature range. PB - IEEE C3 - Proceedings of the 46th International Spring Seminar on Electronics Technology (ISSE), May 10-14, 2023,Timisoara, Romania T1 - Modeling the effect of temperature on relative humidity sensing SP - 1-6 DO - 10.1109/ISSE57496.2023.10168734 ER -
@conference{ author = "Nikolić, Maria Vesna and Mastilović, Sreten", year = "2023", abstract = "In this work we have established a mathematical function to model the influence of the ambient temperature, relative humidity and frequency on the change of impedance. The proposed empirical description is a combination of the power function (modeling the temperature effect) and a reverse-sigmoid function inspired by the three-parameter Weibull cumulative distribution function (modeling the relative humidity and frequency effects). This empirical model was validated by using our iron manganite (FeMnO3) thick film measurement data. The reduction of impedance of thick film samples with change in relative humidity in the range 30-90% was measured in a temperature and climatic chamber in the frequency range 42 Hz – 1 MHz at three ambient/working temperatures (25, 50 and 75 C). The obtained experimental data was successfully fitted using the specially tailored empirical model. Application of this model enables prediction of the iron manganite sensor performance for different temperatures both within the confines of the analyzed temperature range (interpolation) and outside of it (extrapolation). Future development will include applying this model to analyzing the temperature influence on relative humidity sensing for other metal oxide sensing materials that have shown a similar dependence and in a wider ambient temperature range.", publisher = "IEEE", journal = "Proceedings of the 46th International Spring Seminar on Electronics Technology (ISSE), May 10-14, 2023,Timisoara, Romania", title = "Modeling the effect of temperature on relative humidity sensing", pages = "1-6", doi = "10.1109/ISSE57496.2023.10168734" }
Nikolić, M. V.,& Mastilović, S.. (2023). Modeling the effect of temperature on relative humidity sensing. in Proceedings of the 46th International Spring Seminar on Electronics Technology (ISSE), May 10-14, 2023,Timisoara, Romania IEEE., 1-6. https://doi.org/10.1109/ISSE57496.2023.10168734
Nikolić MV, Mastilović S. Modeling the effect of temperature on relative humidity sensing. in Proceedings of the 46th International Spring Seminar on Electronics Technology (ISSE), May 10-14, 2023,Timisoara, Romania. 2023;:1-6. doi:10.1109/ISSE57496.2023.10168734 .
Nikolić, Maria Vesna, Mastilović, Sreten, "Modeling the effect of temperature on relative humidity sensing" in Proceedings of the 46th International Spring Seminar on Electronics Technology (ISSE), May 10-14, 2023,Timisoara, Romania (2023):1-6, https://doi.org/10.1109/ISSE57496.2023.10168734 . .