Jalel, N.A. and Nicholson, H. (1990) Expert Systems for Fault Diagnosis in Nuclear Reactor Control. Research Report. Acse Report 412 . Dept of Automatic Control and System Engineering. University of Sheffield
Abstract
An expert system for accident analysis and fault diagnosis for the Loss of Fluid Test (LOFT) reactor, a small scale pressurised water reactor, has been developed for a personal computer. The knowledge of the system is represented using a production rule approach with a backward chaining inference engine. The data base of the system includes simulated time dependant state variables of the LOFT reactor model. Another system is designed to assist the operator in choosing the appropriate cooling mode and to diagnose the fault in the selected cooling system. The response tree, which is used to provide the link between a list of very specific accident sequences and a set of generic emergency procedures which help the operator in monitoring system status and to differentiate between different accident sequences and select the correct procedures, is used to build the system knowledge base. Both systems are written in Turbo Prolog language and can be run on an IBM PC compatible with 640k RAM, 40 Mbyte hard disk and colour graphics.
Metadata
Item Type: | Monograph |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 15 Apr 2014 12:14 |
Last Modified: | 25 Oct 2016 09:14 |
Status: | Published |
Publisher: | Dept of Automatic Control and System Engineering. University of Sheffield |
Series Name: | Acse Report 412 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78517 |