Abstract
Atomic Energy of Canada Limited (AECL) is a leader in the area of computer monitoring and control of nuclear power plants. The high level of plant computerization in CANDU stations has not only provided benefits in terms of more reliable plant operation but also in terms of improved man-machine interface.
Today, new opportunities for improvements in safety and performance include distributed control systems, data highways and improved operator aids. The most exciting innovation is the development of expert systems aimed at assisting the operator in areas such as: fault management and diagnosis, identification of limiting conditions of operation, assessment of heat sink availability, optimization of on-power fuelling schemes, and computerization of procedures and communication.
The “Operator Companion”, an expert system intended to diagnose plant faults and to advise the operator on appropriate restoring and corrective actions, is a major undertaking which is receiving support within the research and engineering groups of AECL and from McMaster University in Hamilton, Ontario.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1988 Plenum Press, New York
About this chapter
Cite this chapter
Anderson, J.W.D., Natalizio, A., Stevens, J.E.S. (1988). Development in the Application of Knowledge Base Systems in the Canadian Nuclear Industry. In: Majumdar, M.C., Majumdar, D., Sackett, J.I. (eds) Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1009-9_6
Download citation
DOI: https://doi.org/10.1007/978-1-4613-1009-9_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8290-7
Online ISBN: 978-1-4613-1009-9
eBook Packages: Springer Book Archive