Efficient Track Maintenance -Methodology for Combined Analysis of Condition Data
2009 (English)In: International Heavy Houl Conference: Shanghai 2009, 2009Conference paper (Refereed)
Measured condition data may contain lots of information which is not efficiently used. By usingtechniques from the field of pattern recognition, this paper outlines a methodology for eliciting newinformation. The methodology is demonstrated on a large set of condition data originating from trackgeometry quality, dynamic stiffness and ground penetrating radar. The case study gives evidence for theimportance of dynamic stiffness measurements as to determine soil and embankment related track problems,while problems originating from the upper part or the track structure do not benefit significantly.
Place, publisher, year, edition, pages
Condition data, Pattern recognition, Dynamic stiffness
IdentifiersURN: urn:nbn:se:kth:diva-10354OAI: oai:DiVA.org:kth-10354DiVA: diva2:216196
QC 201006232009-05-072009-05-072010-07-20Bibliographically approved