Heyns, TDe Villiers, JPHeyns, PS2013-01-282013-01-282012-12Heyns, T, De Villiers, JP and Heyns, PS. 2012. Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes. Engineering Applications of Artificial Intelligence, vol. 25(8), pp 1752–17600952-1976http://www.sciencedirect.com/science/article/pii/S0952197612000139http://hdl.handle.net/10204/6435Copyright: 2012 Elsevier. This is an ABSTRACT ONLY. The definitive version is published in Engineering Applications of Artificial Intelligence, vol. 25(8), pp 1752–1760.Suboptimal haul road management policies such as routine, periodic and urgent maintenance may result in unnecessary cost, both to roads and vehicles. A recent idea is to continually access haul road condition based on measured vehicle response. However the vehicle operating conditions, such as its instantaneous speed, may significantly influence its dynamic response resulting in possibly ambiguous road classifications. This paper proposes vehicle response calibration by means of Gaussian process regression, so that a severity metric which is more robust to fluctuating operating conditions may be obtained.enRoad maintenanceGaussian process regressionCondition based maintenanceArticleHeyns, T., De Villiers, J., & Heyns, P. (2012). Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes. http://hdl.handle.net/10204/6435Heyns, T, JP De Villiers, and PS Heyns "Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes." (2012) http://hdl.handle.net/10204/6435Heyns T, De Villiers J, Heyns P. Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes. 2012; http://hdl.handle.net/10204/6435.TY - Article AU - Heyns, T AU - De Villiers, JP AU - Heyns, PS AB - Suboptimal haul road management policies such as routine, periodic and urgent maintenance may result in unnecessary cost, both to roads and vehicles. A recent idea is to continually access haul road condition based on measured vehicle response. However the vehicle operating conditions, such as its instantaneous speed, may significantly influence its dynamic response resulting in possibly ambiguous road classifications. This paper proposes vehicle response calibration by means of Gaussian process regression, so that a severity metric which is more robust to fluctuating operating conditions may be obtained. DA - 2012-12 DB - ResearchSpace DP - CSIR KW - Road maintenance KW - Gaussian process regression KW - Condition based maintenance LK - https://researchspace.csir.co.za PY - 2012 SM - 0952-1976 T1 - Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes TI - Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes UR - http://hdl.handle.net/10204/6435 ER -