R.A. Batashov1

1 Plekhanov Russian University of Economics (Moscow, Russia)

1 rusbatashov@gmail.com

The article is devoted to the development of a Bayesian algorithm for adaptive unbalance correction in information and measurement systems (AIS) accounting for petroleum products. A probabilistic approach is proposed in which the unbalance Δ is considered as a random variable with a priori distribution. When new measurements are received, the a posteriori estimates are updated, which makes it possible to dynamically refine the mass of the oil product and reduce systematic and random errors. The paper presents the results of testing the algorithm on AIS data, including comparison with manual and automated measurements, as well as with basic and modified correction methods. It is shown that the use of the Bayesian filter provides a posteriori average unbalance of the order of −5.9 kg at σ ≈ 155 kg and a probability of compliance with the standard error ± 0.5% of more than 95%.

Batashov R.A. Bayesian approach to algorithms of correction of imbalance in information and measurement systems of accounting of petroleum products// Information-measuring and Control Systems. 2026. V. 24. № 3. P. 55−66. DOI: https://doi.org/10.18127/j20700814-202603-06

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