Using Measurement Data for Decision Support

This article describes how modern measuring equipment yields vast quantities of useful data, yet the benefit can easily be lost if the information is not properly interpreted and managed. The authors describe how the authors’ companies asset maintenance management decision support system can help railways use their measurement data to optimize maintenance and renewal. The article shows how today’s diagnostic systems can produce vast amounts of condition data, such as measurements and defects, as well as information about the assets they detect, for example material and location. Traditional track recording vehicles dedicated to measurement of track geometry have evolved into multi-purpose vehicles, or even whole trains, equipped to monitor virtually every aspect of railway infrastructure including track, catenary, wayside and signaling. Similarly, advances in rolling stock diagnostics mean there is now a wide range of equipment for checking wheels, brake pads, bearings and many other vehicle components. The acquisition of greater quantities of data can, if used properly, result in more valuable information. Therefore, the efficient use of data can provide early and valuable feedback to a maintenance operator, which can have profound effects on the cost and timing of maintenance.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/07445326
• Authors:
  • Pace, Pietro
  • Jovanovic, Stasha
• Publication Date: 2011-7

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos;
• Pagination: pp 37-40
• Serial:
  • International Railway Journal
  • Volume: 51
  • Issue Number: 7
  • Publisher: Simmons-Boardman Publishing Corporation
  • ISSN: 0744-5326

Subject/Index Terms

• TRT Terms: Asset management; Condition surveys; Data collection; Decision support systems; Maintenance of way; Measurement; Preventive maintenance; Railroad tracks; Railroad transportation; Rolling stock; Wayside signals
• Subject Areas: Data and Information Technology; Maintenance and Preservation; Railroads;

Filing Info

• Accession Number: 01349455
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 10 2011 10:42AM