A weighted method for reducing measurement uncertainty below that which results from maximum permissible error

Kozyra, Andrzej; Wiora, Alicja

doi:10.1088/0957-0233/27/3/035007

Cited by 15 publications

(13 citation statements)

References 10 publications

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“…Its performance has been evaluated for multiple microphones in the room. Significant levels of global noise reduction have been obtained (achieving 10 dB), confirming high potential of the active casing approach to reduce excessive device noise (even when a relatively simple control strategy has been employed -independent control system for each casing wall) (Wiora et al, 2016).…”

Section: Discussionmentioning

confidence: 62%

Feedforward Control of a Light-Weight Device Casing for Active Noise Reduction

Wrona¹,

Pawełczyk²

2016

Archives of Acoustics

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It is possible to enhance acoustic isolation of the device from the environment by appropriately controlling vibration of a device casing. Sound insulation efficiency of this technique for a rigid casing was confirmed by the authors in previous publications. In this paper, a light-weight casing is investigated, where vibrational couplings between walls are much greater due to lack of a rigid frame. A laboratory setup is described in details. The influence of the cross-paths on successful global noise reduction is considered. Multiple vibration actuators are installed on each of the casing walls. An adaptive control strategy based on the Least Mean Square (LMS) algorithm is used to update control filter parameters. Obtained results are reported, discussed, and conclusions for future research are drawn.

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Section: Discussionmentioning

confidence: 62%

Feedforward Control of a Light-Weight Device Casing for Active Noise Reduction

Wrona¹,

Pawełczyk²

2016

Archives of Acoustics

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“…It utilizes the available information on the possible variability of a quantity. The information may come from previous measurements, calibrations, general knowledge, manufacturer’s specifications, or handbooks and the uncertainty component can be calculated before experiments [ 11 , 18 ].…”

Section: The Principles Of Uncertainty Calculationsmentioning

confidence: 99%

Measurement Uncertainty Calculations for pH Value Obtained by an Ion-Selective Electrode

Wiora

2018

Sensors

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An assessment of measurement uncertainty is a task, which has to be the final step of every chemical assay. Apart from a commonly applied typical assessment method, Monte Carlo (MC) simulations may be used. The simulations are frequently performed by a computer program, which has to be written, and therefore some programming skills are required. It is also possible to use a commonly known spreadsheet and perform such simulations without writing any code. Commercial programs dedicated for the purpose are also available. In order to show the advantages and disadvantages of the ways of uncertainty evaluation, i.e., the typical method, the MC method implemented in a program and in a spreadsheet, and commercial programs, a case of pH measurement after two-point calibration is considered in this article. The ways differ in the required mathematical transformations, degrees of software usage, the time spent for the uncertainty calculations, and cost of software. Since analysts may have different mathematical and coding skills and practice, it is impossible to point out the best way of uncertainty assessment—all of them are just as good and give comparable assessments.

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“…Examples of additive quantities are mass, length, DC voltage, etc. In Wiora et al (2016), the proposed approach in Siuda and Grabowski (2012) has been extended to the case of heteroscedasticity by means of applying the weighted least squares. The method provides resulting uncertainty is less than that assessed directly from experiments using Type B uncertainty evaluation.…”

Section: Introductionmentioning

confidence: 99%

“…The method provides resulting uncertainty is less than that assessed directly from experiments using Type B uncertainty evaluation. The references (Siuda and Grabowski, 2012;Wiora et al, 2013;Wiora et al, 2016) lack a formal justification for the fact that the method always leads to a decrease in the estimates uncertainty of the measured values.…”

Section: Introductionmentioning

confidence: 99%

Accuracy enhancement of measurand estimate on the base of additive combined measurements

Muravyov

2020

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Purpose The paper aims to develop a method for improving the accuracy of smart sensors (deemed as digital measuring instruments) by organizing combined measurements and processing their results by the parametric adjustment method at heterogeneous dispersion of the random error of the applied regression model. Design/methodology/approach When carrying out combined measurements, the problem of joint processing of measurement results of functionally related quantities must be solved. The function type can be known in advance or obtained experimentally. The number of combined measurements exceeds the number of unknown measured quantities. The redundant measurements can improve the accuracy of estimates of measured values but lead to inconsistency of the measurement results. The problem of inconsistency is solved by the parametric adjustment method, which is rather widely used mainly in the field of geodetic measurements, wherein the parametric equations are linear and the measured quantities are additive. Findings The proposed method allows to reduce the uncertainty of type B of a measurement result, caused by the maximum permissible error of a digital measuring instrument, by 1.2–4 times in comparison with the direct estimation method. Originality/value A compact description of the parametric adjustment method in matrix form is given. Recommendations are given on shaping a sensitivity matrix of functions for the proposed method. The geometric interpretation of the proposed method is considered. The results of the proposed method experimental testing are given when evaluating resistance values.

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A weighted method for reducing measurement uncertainty below that which results from maximum permissible error

Cited by 15 publications

References 10 publications

Feedforward Control of a Light-Weight Device Casing for Active Noise Reduction

Feedforward Control of a Light-Weight Device Casing for Active Noise Reduction

Measurement Uncertainty Calculations for pH Value Obtained by an Ion-Selective Electrode

Accuracy enhancement of measurand estimate on the base of additive combined measurements

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