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 |