Towards intelligent track maintenance planning

The potential for an autonomous maintenance decision-making system linking asset health with planning and scheduling in order to optimize life-cycle costs is being examined by the AUTONOM research project between Network Rail and Cranfield University. The AUTO user interface consists of numerous parameters driven by live data feeds which can be analyzed in order to deliver greater automation of routine maintenance tasks.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03735346
• Authors:
  • Starr, Andrew
• Publication Date: 2016-8

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos;
• Pagination: pp 56-58
• Serial:
  • Railway Gazette International
  • Volume: 172
  • Issue Number: 8
  • Publisher: DVV Media Group
  • ISSN: 0373-5346
  • Serial URL: http://www.railwaygazette.com/about-us.html

Subject/Index Terms

• TRT Terms: Decision support systems; Intelligent agents; Life cycle analysis; Maintenance of way; Optimization; Research projects
• Identifier Terms: AUTONOM; Cranfield University; Network Rail (Firm)
• Subject Areas: Data and Information Technology; Maintenance and Preservation; Planning and Forecasting; Railroads; Terminals and Facilities;

Filing Info

• Accession Number: 01611501
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 23 2016 11:17AM