Submit an Article
Become a reviewer
Grigory V. Dyachenok
Grigory V. Dyachenok
Postgraduate Student
Saint Petersburg Mining University
Postgraduate Student
Saint Petersburg Mining University
Saint Petersburg
Russia

Articles

Energy industry
  • Date submitted
    2023-03-14
  • Date accepted
    2023-06-20
  • Date published
    2023-07-19

A reliability study of the traction drive system in haul trucks based on failure analysis of their functional parts

Article preview

The efficiency of a mining and processing plant depends on the level of complex mechanization of the production process. In mineral extraction, haulage is a major cost category, with haul trucks being the key component of the mining transportation system. To improve production performance, mining operations can increase their haulage turnover and reduce transportation costs, which necessitates making haul trucks more reliable. This can be done by improving their mean time to first failure (MTFF) indicators. This article analyzes the reliability status of the traction drive system inhaul trucks operating in the mineral resources sector. It provides a quantitative assessment of traction drive system failures resulting from part defects and discusses the associated repair costs. By examining failure data from 2018 to 2022 and the results of vibration tests performed on a diesel generator, the study reveals that the most expensive failures are associated with defects in the synchronous generator, which are primarily caused by elevated external vibrations. Based on basic vibration tests and vibration spectra tests at different operating modes, recommendations have been formulated concerning the generator’s robustness to external mechanical forces and the ways to increase the generator’s protection grade to prevent dust intrusion. The study also identifies the frequency range that poses the greatest risk of damage to the windings.

How to cite: Nazarychev A.N., Dyachenok G.V., Sychev Y.A. A reliability study of the traction drive system in haul trucks based on failure analysis of their functional parts // Journal of Mining Institute. 2023. Vol. 261. p. 363-373. EDN HCLPJB