USING THE MONTE CARLO METHOD FOR CALCULATING THE ERROR OF THE MEASUREMENT SYSTEM

The article considers the Monte Carlo method as one of the possible techniques for calculating the error of a measuring system, which consists of several elements, each of which measures some quantity with its own independent error. Due to its features, the method can be extended to modeling any process affected by random variables. The simplicity of application and the calculation algorithm makes it possible to easily calculate the total error of the system and the probability of its occurrence, while avoiding inflated and unlikely values. The article substantiates the application of the Monte Carlo method for calculating the error of the measuring system, reveals the nature of the distribution of errors, and calculates the value of the error depending on the probability of its occurrence. It is shown that with probability of 0.95 the total error of the system can be taken to be 3 times smaller than the maximum possible error. References 8, figures 2, table 1.

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Publication Details

Journal
Tekhnichna Elektrodynamika
Published
2024-10-21
DOI
https://doi.org/10.15407/techned2024.06.090
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
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article

USING THE MONTE CARLO METHOD FOR CALCULATING THE ERROR OF THE MEASUREMENT SYSTEM

Е. И. Байда, Michael G. Pantelyat
Tekhnichna Elektrodynamika
Scientific Measurement and Uncertainty Evaluation
article

USING THE MONTE CARLO METHOD FOR CALCULATING THE ERROR OF THE MEASUREMENT SYSTEM

Е. И. Байда, Michael G. Pantelyat
article en

Abstract

The article considers the Monte Carlo method as one of the possible techniques for calculating the error of a measuring system, which consists of several elements, each of which measures some quantity with its own independent error. Due to its features, the method can be extended to modeling any process affected by random variables. The simplicity of application and the calculation algorithm makes it possible to easily calculate the total error of the system and the probability of its occurrence, while avoiding inflated and unlikely values. The article substantiates the application of the Monte Carlo method for calculating the error of the measuring system, reveals the nature of the distribution of errors, and calculates the value of the error depending on the probability of its occurrence. It is shown that with probability of 0.95 the total error of the system can be taken to be 3 times smaller than the maximum possible error. References 8, figures 2, table 1.

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