Condition Monitoring Opportunities Using Vehicle-based Sensors

Recent increases in railway ridership worldwide have created pressure on rolling stock and railway infrastructure through the demand to improve the capacity and punctuality of the whole system, and this demand must also be balanced with reducing life-cycle costs. Condition monitoring is seen as a significant contributor in achieving this. The thrust of this article is on the use of sensors mounted on rolling stock to monitor the condition of infrastructure and the rolling stock itself. This is set in the context of modern rolling stock being fitted with high-capacity communication buses and multiple sensors, resulting in the potential for advanced processing of collected data. The article brings together linked research that uses a similar set of rolling stock sensors; it discusses general usage/benefits, a track defect detection method, running gear condition monitoring, and absolute train speed detection.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09544097
• Authors:
  • Ward, C P
  • Weston, P F
  • Stewart, E J C
  • Li, H
  • Goodall, R M
  • Roberts, C
  • Mei, T X
  • Charles, G
  • Dixon, R
• Publication Date: 2011-3

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 202-218
• Serial:
  • Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
  • Volume: 225
  • Issue Number: 2
  • Publisher: Sage Publications Limited
  • ISSN: 0954-4097
  • EISSN: 2041-3017
  • Serial URL: http://pif.sagepub.com/content/current

Subject/Index Terms

• TRT Terms: Maintenance of way; Monitoring; Physical distribution; Railroad tracks; Railroads; Rolling stock; Sensors; Transportation system management
• Candidate Terms: Rail profiles
• Subject Areas: Administration and Management; Railroads; I10: Economics and Administration;

Filing Info

• Accession Number: 01339946
• Record Type: Publication
• Files: TRIS
• Created Date: May 18 2011 10:51AM