National University of Science and Technology—NUST MISIS, Moscow, Russia

Kupriyanov V. V., Professor, Doctor of Engineering Sciences, kupriyanov.vv@misis.ru
Temkin I. O., Professor, Doctor of Engineering Sciences

Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan

Akhmatnurov D. R., Associate Professor, PhD
Zamaliyev N. M., Associate Professor, PhD

The problem of identification is defined by practical applications related to the characteristics of accidents during their investigation. Identification is aimed at solving the problem of detecting emergency situations (ES), under which accidents of various types occur, often due to the influence of so-called rarely encountered and uncontrollable factors. It is difficult to identify information about the signs of ES in mines. Really, many mine accidents are triggered by sudden changes in natural and technical factors. Due to these jumps, it is not always possible to determine the factors that are more or less manageable by the means and methods of safety assurance available to modern mines. Their characteristics are usually unknown. To accurately identify complex ES that occur abruptly, it is necessary to implement adaptive information identification, which is particularly crucial in the presence of unknown external influences. In this article, a criterion of minimum distinguishing information was used to estimate the unknown distribution function of change in the methane content in the mining faces. A modified strategy for identifying ES characterizing accidents such as flooding and mining blockages is proposed. It is based on the method of information dichotomy and diagonalization of the information matrix. Formulas have been obtained for calculating dividing information for unknown distributions, as well as for the evaluation of the identification error probability.

The study was supported by the Committee of Science within the Ministry of Science and Higher Education of the Republic of Kazakhstan in the framework of targeted IRN Science and Technology Program No. BR24993009.

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