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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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An intelligent system for monitoring the nuclear refuelling process

Steele, J.A. and Martin, L.A. and McArthur, S.D.J. and Moyes, A.J. and McDonald, J.R. and Howie, D. and Elrick, R. (2001) An intelligent system for monitoring the nuclear refuelling process. In: Large Engineering Systems Conference on Power Engineering, 2001-07-11 - 2001-07-13.

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Abstract

Certain types of nuclear reactors contain over 300 fuel assemblies that over time will become depleted and require replacement with new fuel assemblies - this process is known as refuelling. When refuelling a nuclear reactor, the data produced must be evaluated to ensure that the fuel assembly has landed properly in its position, thereby allowing the continued and safe operation of the station. The process of evaluation is time consuming because of the manual interpretation required and the large amount of data produced. This manual interpretation also requires considerable domain experience due to the nature of the domain. This paper will present an intelligent system to automate the process of the data analysis, thereby shortening the evaluation time and providing an explanation of the reasoning behind its conclusions. The intelligent system utilises a knowledge based system, neural network based classification, K-means clustering techniques and rule induction methods to evaluate the data and inform the operator of any errors encountered.