A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation
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Date
Authors
Heyns, Theo
Heyns, P.S. (Philippus Stephanus)
De Villiers, Johan Pieter
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
Current haul road management techniques, such as routine, periodic and urgent maintenance have shortcomings in
many complex haul road environments. Real-time road condition monitoring may significantly reduce maintenance
costs, both to the road and to the vehicles. A recent idea is that vehicle on-board data collection systems could be
used to monitor haul roads on a real-time basis by means of vibration signature analysis. This paper proposes a
methodology based on Bayesian regression to isolate the effect of varying vehicle speed on the measured vehicle
response metric. A key feature of the proposed methodology is that it avoids the costly need to generate analytical
or empirical vehicle models.
Description
Keywords
Monitoring of road condition, Bayesian parameter estimation, Condition based maintenance
Sustainable Development Goals
Citation
Heyns, T, Heyns, PS & De Villiers, JP, A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation, Journal of Terramechanics, vol. 49, no. 2, pp.103–113 (2012), doi: 10.1016/j.jterra.2011.12.001