Abstract
A Production-Rule Analysis System developed using a Model-Based System of the LaSalle-1 Boiling Water Rector Plant is described. Its purpose is to interpret about 300 signals in view of diagnosing possible plants malfunctions. This diagnosis serves as an Emergency Preparedness input. The Production-Rule System is written in the OPS5 symbolic language under the VAX/VMS Operating System. Forward-chaining or data-driven inferencing is used. In the system's Knowledge Base, operator and plant actions pertaining to the Emergency Operating Procedures (EOPs) for the LaSallel Plant are incorporated. The LaSalle General Abnormal (LGA) procedures LGA-01 through LGA-05 have been encoded and tested. The LGA-01 procedure is discussed in detail. The issue of management of time-dependent data or working memory elements in such a Model-Base System is discussed. This management of working memory will affect the system's performance when real-time monitoring is performed. As a long-term objective, the methodology aims at using the output of plant simulations produced by numerical codes as a sourece of knowledge in combination with sensors information to determine the performance levels of plant component and subsystems.
Original language | English (US) |
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Pages | 95-100 |
Number of pages | 6 |
State | Published - 1990 |
Event | Winter Annual Meeting of the American Society of Mechanical Engineers - Dallas, TX, USA Duration: Nov 25 1990 → Nov 30 1990 |
Other
Other | Winter Annual Meeting of the American Society of Mechanical Engineers |
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City | Dallas, TX, USA |
Period | 11/25/90 → 11/30/90 |
ASJC Scopus subject areas
- General Engineering