An intelligent system for monitoring the nuclear refuelling process

J.A. Steele, L.A. Martin, S.D.J. McArthur, A.J. Moyes, J.R. McDonald, D. Howie, R. Elrick

Research output: Contribution to conferencePaper


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.
Original languageEnglish
Number of pages4
Publication statusPublished - Jul 2001
EventLarge Engineering Systems Conference on Power Engineering - Halifax, Canada
Duration: 11 Jul 200113 Jul 2001


ConferenceLarge Engineering Systems Conference on Power Engineering


  • intelligent systems
  • XML
  • nuclear fuels
  • nuclear refuelling process


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