A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation |
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Authors: | T. Heyns P.S. Heyns J.P. de Villiers |
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Affiliation: | 1. Department of Electronic and Computer Engineering, University of Pretoria, South Africa;2. Defence Peace Safety and Security (DPSS), Division of the Council for Scientific and Industrial Research (CSIR), South Africa;3. Dynamic Systems Group, Department of Mechanical and Aeronautical Engineering, University of Pretoria, South Africa |
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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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