Abstract

State-of-the-art reliability assessment methods require a large amount of initial statistical data, which does not always have the necessary degree of accuracy for accurate assessment. Moreover, this data is often difficult to obtain, which can ultimately delay the execution of calculations and increase error within results. This paper explores an alternative assessment method using the “structural orderliness indicator” and minimal initial data to calculate the change in reliability indicators in connection with reinforcement decisions. This paper includes the cost of reconstruction associated with the introduction of a new unit cost indicator for increasing the structure orderliness index. As a real-world application, the following discussion proposes improvements to external electrical power supply reliability for coal-mining enterprises within the Russian Federation, such as in the Kemerovo region (the biggest coal-producing region of Russia). In recent years, the number of production process suspensions and emergency shutdowns of life support facilities has increased due to external power supply disruptions. The performed calculations made possible qualitatively comparison the proposed method and state-of-the-art method based on the determination of reliability indices (SAIDI, SAIFI, etc.).

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