A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation

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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.

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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