• Title of article

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

  • Author/Authors

    Nazarychev ، Alexander N. Saint Petersburg Mining University , Dyachenok ، Grigory V. Saint Petersburg Mining University , Sychev ، Yuriy А. Saint Petersburg Mining University

  • From page
    363
  • To page
    373
  • Abstract
    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.
  • Keywords
    traction motor , mining trucks , reliability , equipment health , defects , failures , synchronous generator
  • Journal title
    Journal of Mining Institute
  • Journal title
    Journal of Mining Institute
  • Record number

    2779943