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Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes

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dc.contributor.author Heyns, T
dc.contributor.author De Villiers, JP
dc.contributor.author Heyns, PS
dc.date.accessioned 2013-01-28T07:56:52Z
dc.date.available 2013-01-28T07:56:52Z
dc.date.issued 2012-12
dc.identifier.citation Heyns, 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 1752–1760 en_US
dc.identifier.issn 0952-1976
dc.identifier.uri http://www.sciencedirect.com/science/article/pii/S0952197612000139
dc.identifier.uri http://hdl.handle.net/10204/6435
dc.description Copyright: 2012 Elsevier. This is an ABSTRACT ONLY. The definitive version is published in Engineering Applications of Artificial Intelligence, vol. 25(8), pp 1752–1760. en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Workflow;9832
dc.subject Road maintenance en_US
dc.subject Gaussian process regression en_US
dc.subject Condition based maintenance en_US
dc.title Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes en_US
dc.type Article en_US
dc.identifier.apacitation Heyns, 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/10204/6435 en_ZA
dc.identifier.chicagocitation Heyns, 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/10204/6435 en_ZA
dc.identifier.vancouvercitation Heyns 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. en_ZA
dc.identifier.ris 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 - en_ZA


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