Predictive maintenance approaches based on continuous monitoring systems at Rio Tinto

Irregular track geometry can incite undesirable vehicle dynamic response modes that increase track loading, reduce component life and increase the risk of vehicle derailment. Geometric irregularities in track can typically be identified by monitoring wagon-track dynamic activity. Instrumented ore car (IOC) continuous monitoring systems measure a range of response metrics including spring nest deflection, which under nominal service loads and speeds, are a key indicator of geometry induced wagon-track dynamic activity. This study demonstrates the benefits of predictive maintenance approaches facilitated by the trending of continuously measured performance data, as developed for Rio Tinto’s heavy haul iron ore railway network in Australia’s Pilbara region. Predictive maintenance approaches facilitate the improvement of maintenance planning operations resulting in better track surface and line condition, reduced risk to infrastructure and rolling-stock as well a reduction in the need for reactive temporary speed restrictions (TSRs) and unscheduled maintenance activities.

Media Info

  • Pagination: 7p. ; PDF
  • Monograph Title: Maintaining the momentum: CORE 2016: conference on railway excellence, 16-18 May 2016, Melbourne, Victoria, Australia

Subject/Index Terms

Filing Info

  • Accession Number: 01636851
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ATRI
  • Created Date: May 30 2017 3:28PM