Improvement of Operational Reliability of Units and Elements of Dump Trucks Taking into Account the Least Reliable Elements of the System

The present work is devoted to the analysis of the most important reliability indicators of components of electrical devices of mining dump trucks, and analytical methods of their evaluation are proposed. A mathematical model for calculating the reliability of electrical devices integrated into the electrical systems of quarry dump trucks is presented. The model takes into account various loads arising in the process of operation and their influence on reliability reduction. Optimisation of maintenance and repair schedules of electrical equipment has revealed problems for research. One of them is the classification of electrical equipment by similar residual life, which allows the formation of effective repair and maintenance cycles. The analysis of statistical data on damages revealed the regularities of their occurrence, which is an important factor in assessing the reliability of electrical equipment in mining production. For quantitative assessment of reliability, it is proposed to use the parameter of the average expected operating time per failure. This parameter characterises the relative reliability of electrical equipment and is a determining factor of its reliability. The developed mathematical model of equipment failures with differentiation of maintained equipment by repeated service life allows flexible schedules of maintenance and repair to be created. The realisation of such cycles makes it possible to move from planned repairs to the system of repair according to the actual resource of the equipment.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2024-08-13
DOI
https://doi.org/10.3390/wevj15080365
Citations
20
Primary Topic
Industrial Engineering and Technologies
Type
article
Field-Weighted Citation Impact
4.25
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article

Improvement of Operational Reliability of Units and Elements of Dump Trucks Taking into Account the Least Reliable Elements of the System

Vladimir Yu. Konyukhov, Nikita V. Martyushev, Boris V. Malozyomov, Roman Vladimirovich Klyuev et al.
20 citations
World Electric Vehicle Journal
Industrial Engineering and Technologies
4.25
article

Improvement of Operational Reliability of Units and Elements of Dump Trucks Taking into Account the Least Reliable Elements of the System

Vladimir Yu. Konyukhov, Nikita V. Martyushev, Boris V. Malozyomov, Roman Vladimirovich Klyuev, Olga Filina, Aleksey F. Pryalukhin, Artur A. Makarov
article en
20 citations

Abstract

The present work is devoted to the analysis of the most important reliability indicators of components of electrical devices of mining dump trucks, and analytical methods of their evaluation are proposed. A mathematical model for calculating the reliability of electrical devices integrated into the electrical systems of quarry dump trucks is presented. The model takes into account various loads arising in the process of operation and their influence on reliability reduction. Optimisation of maintenance and repair schedules of electrical equipment has revealed problems for research. One of them is the classification of electrical equipment by similar residual life, which allows the formation of effective repair and maintenance cycles. The analysis of statistical data on damages revealed the regularities of their occurrence, which is an important factor in assessing the reliability of electrical equipment in mining production. For quantitative assessment of reliability, it is proposed to use the parameter of the average expected operating time per failure. This parameter characterises the relative reliability of electrical equipment and is a determining factor of its reliability. The developed mathematical model of equipment failures with differentiation of maintained equipment by repeated service life allows flexible schedules of maintenance and repair to be created. The realisation of such cycles makes it possible to move from planned repairs to the system of repair according to the actual resource of the equipment.

World Electric Vehicle JournalVol. 15(8)
Saint Petersburg Mining University (RU), Western Caspian University (AZ), Irkutsk National Research Technical University (RU), Kazan State Power Engineering University (RU), Moscow Polytechnic University (RU), Novosibirsk State Technical University (RU)
Openalex Percentile: Top 5%
Industrial Engineering and Technologies
4.25
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