Uncertainty Estimation of Refrigeration Equipment Using the Information Approach

Menin, Boris

doi:10.4236/jamp.2020.81003

“…In the second technique, S is determined by the limits of the used measuring instruments [20] in each particular experiment. This is confirmed by the fact that in experimental physics, unlike other areas of technology (for example, when studying the processes of heat and mass transfer in refrigeration equipment [22]), the researchers present measurement data with the obligatory indication of the standard uncertainty. At the same time, it is obvious that this uncertainty of a particular measurement is subjective because the observer is simply not able to consider all the uncertainties.…”

Section: Two μ-Rule Methodologiesmentioning

confidence: 89%

“…Who presented the most respectable option? Obviously, the choice of the class of the phenomenon and the number of variables considered will affect the information content of the model and will cause a different amount of information contained in it [22]:…”

Section: The Amount Of Information Contained In a Modelmentioning

confidence: 99%

High Accuracy When Measuring Physical Constants: From the Perspective of the Information-Theoretic Approach

Menin¹

2020

JAMP

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The practical value of high-precision models of the studied physical phenomena and technological processes is a decisive factor in science and technology. Currently, numerous methods and criteria for optimizing models have been proposed. However, the classification of measurement uncertainties due to the number of variables taken into account and their qualitative choice is still not given sufficient attention. The goal is to develop a new criterion suitable for any groups of experimental data obtained as a result of applying various measurement methods. Using the "information-theoretic method", we propose two procedures for analyzing experimental results using a quantitative indicator to calculate the relative uncertainty of the measurement model, which, in turn, determines the legitimacy of the declared value of a physical constant. The presented procedure is used to analyze the results of measurements of the Boltzmann constant, Planck constant, Hubble constant and gravitational constant.

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“…The results of the theoretical conclusions of the informational method have been applied to several practical problems, including the measurement of a physical constant [13], the determination of the required simplicity of a physical law [9], and the evaluation of the efficiency of a technological process (thermal energy accumulation and ice maker performance) [18][19][20][21].…”

Section: Beginnings Of the Informational Approachmentioning

confidence: 99%

A new look at the process of modelling physical phenomena: Informational approach

Menin¹

2023

Preprint

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<p> When building a model of a physical phenomenon or process, scientists face an inevitable compromise between the simplicity of the model (qualitative‒quantitative set of variables) and its accuracy. For hundreds of years, the visual simplicity of a law testified to the genius and depth of the physical thinking of the scientist who proposed it. Currently, the desire for a deeper physical understanding of the surrounding world and newly discovered physical phenomena motivates researchers to increase the number of variables considered in a model. This direction leads to an increased probability of choosing an inaccurate or even erroneous model. This study describes a method for estimating the limit of measurement accuracy, taking into account the stage of model building in terms of storage, transmission, processing and use of information by the observer. This limit, due to the finite amount of information stored in the model, allows you to select the optimal number of variables for the best reproduction of the observed object and calculate the exact values of the threshold discrepancy between the model and the phenomenon under study in measurement theory. We consider two examples: measurement of the speed of sound and measurement of physical constants. </p>

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“…The results of the theoretical conclusions of the informational method have been applied to several practical problems, including the measurement of a physical constant [13], the determination of the required simplicity of a physical law [9], and the evaluation of the efficiency of a technological process (thermal energy accumulation and ice maker performance) [18][19][20][21].…”

Section: Beginnings Of the Informational Approachmentioning

confidence: 99%

A new look at the process of modelling physical phenomena: Informational approach

Menin¹

2023

Preprint

0

View full text Add to dashboard Cite

<p> When building a model of a physical phenomenon or process, scientists face an inevitable compromise between the simplicity of the model (qualitative‒quantitative set of variables) and its accuracy. For hundreds of years, the visual simplicity of a law testified to the genius and depth of the physical thinking of the scientist who proposed it. Currently, the desire for a deeper physical understanding of the surrounding world and newly discovered physical phenomena motivates researchers to increase the number of variables considered in a model. This direction leads to an increased probability of choosing an inaccurate or even erroneous model. This study describes a method for estimating the limit of measurement accuracy, taking into account the stage of model building in terms of storage, transmission, processing and use of information by the observer. This limit, due to the finite amount of information stored in the model, allows you to select the optimal number of variables for the best reproduction of the observed object and calculate the exact values of the threshold discrepancy between the model and the phenomenon under study in measurement theory. We consider two examples: measurement of the speed of sound and measurement of physical constants. </p>

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Uncertainty Estimation of Refrigeration Equipment Using the Information Approach

Cited by 6 publications

References 23 publications

High Accuracy When Measuring Physical Constants: From the Perspective of the Information-Theoretic Approach

High Accuracy When Measuring Physical Constants: From the Perspective of the Information-Theoretic Approach

A new look at the process of modelling physical phenomena: Informational approach

A new look at the process of modelling physical phenomena: Informational approach

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