Optimising Measurement Processes Using Automated Planning

Parkinson, Simon, Crampton, Andrew and Longstaff, Andrew P. (2015) Optimising Measurement Processes Using Automated Planning. In: Advances in Mathematical and Computational Tools in Metrology and Testing. Series on Advances in Mathematics for Applied Sciences, 86 (X). World Scientific, Singapore, pp. 286-292. ISBN 978-981-4678-61-2

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Abstract

Many commercial measurement processes are planned with little or no regard to optimality in terms of measurement time and the estimated uncertainty of measurement. This can be because the complexity of the planning problem makes optimality in a dynamic environment difficult to achieve, even with expert knowledge. This paper presents a novel approach to measurement planning using automated planning. Detailed information regarding the modelling and encoding of measurement processes are provided. The benefits of this approach are demonstrated through the results of applying it to machine tool calibration. A discussion is then formed around the development of future tools to further validate the approach.

Item Type:	Book Chapter
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > TJ Mechanical engineering and machinery
Schools:	School of Computing and Engineering School of Computing and Engineering > Centre for Precision Technologies > EPSRC Centre for Innovative Manufacturing in Advanced Metrology
Related URLs:	Author Conference Author Author
Depositing User:	Simon Parkinson
Date Deposited:	17 Mar 2015 14:04
Last Modified:	06 Apr 2018 17:04
URI:	http://eprints.hud.ac.uk/id/eprint/23783

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