Heyns, THeyns, PSDe Villiers, JP2013-03-252013-03-252012-04Heyns, T, Heyns, PS and DE Villers, JP. 2012. A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation. Journal of Terramechanics, vol. 49(2), pp. 103-1130022-4898http://www.sciencedirect.com/science/article/pii/S0022489811001029http://hdl.handle.net/10204/6625Copyright: 2011 ISTVS. Published by Elsevier. This is the preprint version of the work. The definitive version is published in Journal of Terramechanics, vol. 49(2), pp. 103-113Current 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.enRoad condition monitoringBayesian parameter estimationCondition based maintenanceArticleHeyns, T., Heyns, P., & De Villiers, J. (2012). A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation. http://hdl.handle.net/10204/6625Heyns, T, PS Heyns, and JP De Villiers "A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation." (2012) http://hdl.handle.net/10204/6625Heyns T, Heyns P, De Villiers J. A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation. 2012; http://hdl.handle.net/10204/6625.TY - Article AU - Heyns, T AU - Heyns, PS AU - De Villiers, JP AB - 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. DA - 2012-04 DB - ResearchSpace DP - CSIR KW - Road condition monitoring KW - Bayesian parameter estimation KW - Condition based maintenance LK - https://researchspace.csir.co.za PY - 2012 SM - 0022-4898 T1 - A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation TI - A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation UR - http://hdl.handle.net/10204/6625 ER -