Analysis of Parameters Influence in a MOX Gas Sensor Model

Bedenik, Graziella; Souza, Matheus; Carvalho, Elisete Mendes; Molina, Lucas; Montalvão, Jugurta; Freire, Raimundo

doi:10.1109/i2mtc48687.2022.9806695

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…In those approaches to increase accuracy by means of calibration, reference samples are used, which are materially expensive, require high accuracy, and the issue of instability of sensor parameters caused by the action of the external environment was not considered. To overcome this problem, in work [12], the reduction of the influence of the instability of the sensor parameters on the measurement result was achieved through the use of the general equation of uncertainty propagation and the Monte Carlo method. Research aimed at determining the characteristics of the deviation of the waterproof sensor in accordance with the reference one was presented in [13].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Determining features in the application of redundancy for the thermistor cubic transformation function using computer simulation

Shcherban’,

Korohod,

Kolysko

et al. 2024

EEJET

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The object of research is the process of temperature measurement with a platinum thermistor. We have conducted studies on the cubic transformation function of the thermistor when using redundancy that yielded the equation of redundant measurements of the desired temperature. Owing to this, it became possible to directly apply the resulting equation without additional measures to linearize the function of the thermistor transformation. In addition, the obtained value of the desired temperature does not depend on the values of the parameters of the cubic transformation function and their deviations from the nominal values. Experimental studies have proven that the value of the normalized temperature T0 has a greater influence on the result of redundant measurements and the value of the normalized temperature DT on the entire range of measured temperatures Tx is almost unaffected. The best accuracy results (value of relative error δ=0.02 %) were obtained at T0 values lower than –60 °C. When the error of reproduction of normalized temperatures increased from ±0.02 °C to ±0.1 °C, the best accuracy results (value of relative error δ=0.06 %) were obtained at values of normalized temperature T0 below –130 °C. Analysis of results of the absolute error DT revealed that with an error of reproduction of normalized temperatures of ±0.02 °C and at T0=–180 °C, its value does not exceed 0.02 °C, that is, it is within the error of reproduction of normalized temperatures. This allows us to state that it is recommended to use sources of standardized temperatures of high accuracy during measurement control. Thus, there are reasons to assert the prospect for redundant measurements when directly measuring temperature with a thermistor with a cubic transformation function with high accuracy

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Determining features in the application of redundancy for the thermistor cubic transformation function using computer simulation

Shcherban’,

Korohod,

Kolysko

et al. 2024

EEJET

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“…However, the work did not address the instability of sensor parameters caused by the external environment during multiple measurements. Therefore, in [13], to reduce the effect of the environment on the uncertainty of sensor parameters, the general uncertainty propagation equation and the Monte Carlo method were used.…”

Section: To This When Applying the Second Approach It Becomes Possibl...mentioning

confidence: 99%

Computer analysis of multiple measurements with the sensor's quadratic transformation function

SHCHERBAN

Korogod

Chuprynka

et al. 2023

EEJET

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The object of research is multiple measurements. The research aims to improve the accuracy of multiple measurements with a non-linear and unstable sensor transformation function. It is proved that the redundant measurement equation ensures the independence of the measurement result from the parameters of the transformation function and their deviations from the nominal values. It was found that the result of redundant measurements is affected by the reproduction errors of normalized temperatures T1 and T2. It is shown that the best accuracy results are obtained with a reproduction error of normalized temperature T2 within ±1.0 % and temperature T1 within ±0.1 %. This makes it possible to reduce the accuracy requirements for the source of reproduction of normalized temperature Т2. The possibility of processing the results of multiple measurements by two approaches is presented. Computer modeling using the first approach found that with a reproduction error of normalized temperature T2 within ±0.5 %, the relative measurement error is 0.003 %. When modeling the second approach, the relative error is 0.05 %. It was also found that with an increase in the reproduction error of normalized temperature T2 to ±1.0 %, the value of the relative error is 0.04 %. Due to this, when applying the second approach, it becomes possible to choose a non-high-precision source of reproduction of normalized temperature T2. In addition, the sensitivity of the second approach to the digit range of measuring devices was found, which leads to the dependence of the measurement result on their accuracy. There are reasons to assert the possibility of increasing the accuracy of multiple measurements by processing the results of intermediate measurements according to redundant measurement equations using two approaches

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Performance Analysis of a Differential Pair Oscillator with SAW Sensor in Feedback Loop

Bezerra,

Freire,

Araújo

et al. 2023

2023 7th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)

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Analysis of Parameters Influence in a MOX Gas Sensor Model

Cited by 3 publications

References 15 publications

Determining features in the application of redundancy for the thermistor cubic transformation function using computer simulation

Determining features in the application of redundancy for the thermistor cubic transformation function using computer simulation

Computer analysis of multiple measurements with the sensor's quadratic transformation function

Performance Analysis of a Differential Pair Oscillator with SAW Sensor in Feedback Loop

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