Evaluation Numerical Methods Effectiveness for Processing of Measurement Results by Improved SPR-Sensor

Dorozinska, Hanna

doi:10.31649/1997-9266-2020-149-2-7-13

Cited by 2 publications

(4 citation statements)

References 5 publications

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“…Obviously, this becomes possible due to the application of the redundant measurement equation (3), where the additive component of the measurement error is eliminated as a result of the operation of subtracting the output voltages. This does not differ from the practical data given in [12], the authors of which also associate the improvement of measurement accuracy with the method of processing measurement results.…”

Section: B U′ ∆mentioning

confidence: 49%

“…Despite the expediency of the conducted research, the issue of choosing a method for processing measurement results remains unresolved. In [12], the impact of processing methods on measurement accuracy was investigated. It is shown that due to the improvement of the midline method, the absolute measurement error is reduced.…”

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

confidence: 99%

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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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Section: B U′ ∆mentioning

confidence: 49%

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

View full text Add to dashboard Cite

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“…The main factors affecting the accuracy of temperature measurement by non-contact methods were considered in [3]. In [4], the impact of methods of processing results on measurement accuracy was investigated. It is shown that owing to the improvement of the method of the middle line, the reduction of the absolute measurement error is ensured.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Computer modeling in the Mathcad15 environment was carried out with the following parameters of the thermistor PT100: coefficient A = 3.9083•10 -3 Ω/°C; coefficient B = = -5.775•10 -7 Ohm/°C 2 , coefficient C = -4.183•10 -12 Ohm/°C 4 , range of measured temperatures T x = (-1 ÷ -200) °C.…”

Section: Researched Materials and Modeling Toolsmentioning

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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Evaluation Numerical Methods Effectiveness for Processing of Measurement Results by Improved SPR-Sensor

Cited by 2 publications

References 5 publications

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

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

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

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