Optimum choice of measurement points for sensor calibration

Betta, G.; Dell’Isola, Marco

doi:10.1016/0263-2241(96)00019-x

Cited by 25 publications

(24 citation statements)

References 7 publications

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“…The data about the number of VCDs that are approximated with Eq. (18) and meet the criteria of the SEE are collected in Table 6. Besides the number, the relative shares of suitable approximations are also presented.…”

Section: Parameters Of the Properties For The Regression Equationsmentioning

confidence: 99%

“…These results confirm our hypothesis, that it is possible to approximate the measurements of naturalgas VCDs sufficiently well with the multi-regression model in Eq. (18). The exactness of the approximation is dependent on the allowed threshold SEE values.…”

Section: Parameters Of the Properties For The Regression Equationsmentioning

confidence: 99%

“…The optimum choice of measurement points for the VCDs testing in the field could be determined on the basis of [18] and [19]. The number of measurements points was obtained with the aim of reducing the calibration curve's uncertainty.…”

Section: Reducing the Numbers Of Measurement Pointsmentioning

confidence: 99%

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Taking in Account Measuring Errors of Volume Conversion Devices in Measuring of the Volume of Natural Gas

Cimerman

Jarm

Širok

et al. 2016

SV-JME

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Electronic volume-conversion devices (VCDs) or correctors are used to measure standard volumes of natural gas. VCDs are used to convert the measurement flow, temperature, pressure and gas composition under operating conditions into base conditions. The testing and verification of VCDs take into account some specifies and requirements of the standard EN 12405-1 [1] or the recommendation of PTB [2]. National authorities may decide to implement maximum-permissible errors for subsequent or in-service verification. The meter authentication specifies [3] and directive MID [4].Systems for measuring standard gas volumes ( Fig. 1) are comprised of a VCD and a gas meter. Gasvolume conversion devices consist of a calculator and a temperature transducer, or a calculator, a temperature transducer and a pressure transducer that are locally installed. The conversion as a function of temperature, is just called t-conversion, the conversion as a function of the pressure and of the temperature with a constant compression factor, is called pt-conversion, and the conversion as a function of the pressure, the temperature and taking into account the compression factor, is called ptZ-conversion. On the basis of the EN 12405-1 [1] we separate VCDs into type 1 and type 2. Type 1 VCDs are complete instruments, while type 2 VCDs are made of separate elements. Standard volumes of natural gas are measured at the temperature T s = 288.15 K and pressure p s = 1.01325 bar. The VCD calculates and converts the volume of natural gas V, measured by the gas meter at pressure p, and absolute temperature T, into the volume under standard or norm conditions. The VCD's correction factor C is defined on the basis of the standard EN 12405-1 [1] with: Taking in Account Measuring Errors of Volume ConversionDevices in Measuring of the Volume of Natural Gas

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Section: Parameters Of the Properties For The Regression Equationsmentioning

confidence: 99%

Section: Parameters Of the Properties For The Regression Equationsmentioning

confidence: 99%

See 1 more Smart Citation

Taking in Account Measuring Errors of Volume Conversion Devices in Measuring of the Volume of Natural Gas

Cimerman

Jarm

Širok

et al. 2016

SV-JME

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“…The proposed criterion is not directly applicable to non-linear and complex sensors. The tables and figures given in [9] are an aid in choosing an experimental plan in terms of the number of calibration points, number of repetitions for each calibration point and calibration point location.…”

Section: Introductionmentioning

confidence: 99%

“…An approach to design sensor calibration with the aim of reducing the calibration curve uncertainty is proposed in [8,9]. This uncertainty reduction is achieved by minimizing the standard deviations of coefficients of either the regression curve or the estimated calibration curve.…”

Section: Introductionmentioning

confidence: 99%

Sensor Calibration Design Based on D-Optimality Criterion

Hajiyev

2016

Metrology and Measurement Systems

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In this study, a procedure for optimal selection of measurement points using the D-optimality criterion to find the best calibration curves of measurement sensors is proposed. The coefficients of calibration curve are evaluated by applying the classical Least Squares Method (LSM). As an example, the problem of optimal selection for standard pressure setters when calibrating a differential pressure sensor is solved. The values obtained from the D-optimum measurement points for calibration of the differential pressure sensor are compared with those from actual experiments. Comparison of the calibration errors corresponding to the D-optimal, A-optimal and Equidistant calibration curves is done.

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