Title :
An intelligent system for monitoring the nuclear refuelling process
Author :
Steele, J.A. ; Martin, L.A. ; McArthur, S.D.J. ; Moye, A. ; McDonald, J.R. ; Howie, D. ; Elrick, R.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
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 presents 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
Keywords :
artificial intelligence; data analysis; fission reactor fuel; fission reactor monitoring; hypermedia markup languages; knowledge based systems; neural nets; nuclear engineering computing; K-means clustering techniques; XML; data analysis automation; fuel assemblies; intelligent system; knowledge based system; neural network based classification; nuclear reactors; nuclear refuelling process monitoring; rule induction methods; Assembly; Data analysis; Fuels; Inductors; Intelligent networks; Intelligent systems; Knowledge based systems; Monitoring; Neural networks; Power generation;
Conference_Titel :
Power Engineering, 2001. LESCOPE '01. 2001 Large Engineering Systems Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-7107-0
DOI :
10.1109/LESCPE.2001.941625