An intelligent system for interpreting the nuclear refuelling process within an advanced gas-cooled reactor

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

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Evaluation of the data produced during the refuelling process in a nuclear power plant is required to ensure proper 'set-down' of the fuel assembly, thereby allowing the continued and safe operation of the station. The process of evaluating the data can be time consuming owing to the large amounts of data requiring considerable domain experience and interpretation. This paper presents an intelligent system (IS) to automate the process of data analysis, thereby shortening the evaluation time and providing an explanation of the reasoning behind its conclusions. The intelligent system utilizes a knowledge-based system (KBS), 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
Pages (from-to)159-167
Number of pages8
JournalProceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
Volume217
Issue number2
DOIs
Publication statusPublished - 2003

Keywords

  • intelligent systems
  • knowledge based systems
  • neural network
  • nuclear fuels
  • nuclear power generation
  • pattern classification

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