Increasing the efficiency of diagnostics of the brush-collector assembly of mining dump trucks

Quarry dump trucks play a significant role in the infrastructure of coal mines, moving various rocks, including coal, from mining sites to consumers. They are an integral part of the process cycle in surface mining. Any unexpected failure or malfunction of the equipment and subsystems of an open pit dump truck causes serious economic losses, including the cost of restoring serviceability and lost profits due to reduced productivity at the mine site due to the disruption of the process cycle. Therefore, it is necessary to minimize the number and time of unexpected repairs. This paper presents a new approach in diagnosing traction motors including brush-collector assembly and bearings. It allows to expand the possibilities of diagnostics of units and elements of electric motors. In the article the methodology providing reliability of diagnostics is considered in detail, and also the possibility of remote diagnostics is described and ways of automation of the process are offered. The mathematical model used for monitoring the condition of the brush-collector assembly is also presented. The report presents a methodology for predicting the residual life of the electric brush of a DC motor. This methodology is based on the use of monitored reliability indicators that are described in the mathematical model. The use of vibration diagnostics in this model significantly increases the accuracy of prediction and the ability to detect failures on the DC motor. The report also provides a general formula for calculating the remaining life of an electric brush, and discusses ways to improve prediction when using vibration diagnostic techniques to study the life of an electric brush.

Keywords: Mining dump truck, traction motor, commutation stability, brush wear, operating modes.
For citation:

Filina O. A., Malozyomov B. V., Lisitsyn P. S. Increasing the efficiency of diagnostics of the brush-collector assembly of mining dump trucks. MIAB. Mining Inf. Anal. Bull. 2023;(101):261—279. [In Russ]. DOI: 10.25018/0236_1493_2023_101_0_261.

Acknowledgements:
Issue number: 10
Year: 2023
Page number: 261-279
ISBN: 0236-1493
UDK: 621.313.3
DOI: 10.25018/0236_1493_2023_101_0_261
Article receipt date: 18.04.2023
Date of review receipt: 02.06.2023
Date of the editorial board′s decision on the article′s publishing: 10.10.2023
About authors:

Filina O. A., senior prep. Department of Electrical Complexes and Systems. The number of published scientific works is 188. Field of research — Diagnostics and reliability, electric motors rolling stock. State Budgetary Educational Institution of Higher Education Novosibirsk State Technical University, 630073, Novosibirsk, K. Marx Ave., 20, e-mail: olga_yuminova83@mail.ru;
Malozyomov B. V., Cand. Sci. (Eng.), Associate Professor of the Department of Electrical Engineering Complexes. The number of published scientific works is 154. Field of research — Diagnostics and reliability, Computer, network and information technologies. Novosibirsk State Technical University, 630073, Novosibirsk, K. Marx Ave., 20, e-mail: mbv5@mail.ru, +79658255983
Lisitsyn P. S., assistant of the department of “Electrotechnical complexes” of the Novosibirsk State Technical University (NSTU-NETI), master.

 

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