Video imaging for wayside condition monitoring of rolling stock

Video imaging techniques can be used for real-time condition monitoring of rolling stock without the need to take wagons out of service for inspection. Video imaging removes the need for ore car examiners to manually inspect each train on arrival and departure. LynxRail is implementing a video imaging system for BHP that monitors and assesses the condition of critical wagon components as the train travels past the video scanning station at normal operational speeds. The system monitors the condition of critical components and alerts the control centre via radio when there is a problem that could compromise operational safety. This method is not only cost-effective, but also removes human error that may occur during manual checks. The system provides real-time monitoring and analysis, as well as trending . Video imaging techniques can be used for real-time condition monitoring of rolling stock without the need to take wagons out of service for inspection. Video imaging removes the need for ore car examiners to manually inspect each train on arrival and departure. LynxRail is implementing a video imaging system for BHP that monitors and assesses the condition of critical wagon components as the train travels past the video scanning station at normal operational speeds. The system monitors the condition of critical components and alerts the control centre via radio when there is a problem that could compromise operational safety. This method is not only cost-effective, but also removes human error that may occur during manual checks. The system provides real-time monitoring and analysis, as well as trending.

Media Info

  • Pagination: 7p. ; PDF
  • Monograph Title: Railway technology for the 21st century: CORE 2000: conference on railway engineering, May 21-23 2000, Glenelg, South Australia

Subject/Index Terms

Filing Info

  • Accession Number: 01532100
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ATRI
  • Created Date: Jul 29 2014 11:55AM