Expert system in PNC, 4
Creators
- 1. Power Reactor and Nuclear Fuel Development Corp., Tokai, Ibaraki (Japan). Tokai Works
Description
We have been developing an operation assisting system, partially supported by AI system, for uranium enrichment plant. The AI system is a proto-type system aiming a final one which can be applied to any future large uranium enrichment plant and also not only to specific operational area but also to complex and multi-phenomenon operational area. An existing AI system, for example facility diagnostic system that utilizes the result of CCT(Cause Consequence Tree) analysis as knowledge base, has weakness in flexibility and potentiality. To build AI system, we have developed the most suitable knowledge representations using deep knowledge for each facility or operation of uranium enrichment plant. This paper describes our AI proto-type system adopting several knowledge representations that can represent an uranium enrichment plant's operation with deep knowledge. (author)
Additional details
Additional titles
- Subtitle (English)
- The assisting system for uranium enrichment plant operation
Publishing Information
- Journal Title
- Donen Giho
- Journal Issue
- no.76
- Series
- Donen Giho.
- ISSN
- 0289-6605
- CODEN
- DOGIE
INIS
- Country of Publication
- Japan
- Country of Input or Organization
- Japan
- INIS RN
- 22051571
- Subject category
- S11: NUCLEAR FUEL CYCLE AND FUEL MATERIALS; S99: GENERAL AND MISCELLANEOUS;
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; COMPUTER-AIDED MANUFACTURING; COMPUTERIZED SIMULATION; EXPERT SYSTEMS; FAULT TREE ANALYSIS; FEASIBILITY STUDIES; ISOTOPE SEPARATION; ISOTOPE SEPARATION PLANTS; PARALLEL PROCESSING; PERFORMANCE; PERFORMANCE TESTING; SIMULATORS
- Descriptors DEC
- ANALOG SYSTEMS; FUNCTIONAL MODELS; INDUSTRIAL PLANTS; NUCLEAR FACILITIES; PROGRAMMING; SEPARATION PROCESSES; SIMULATION; SYSTEM FAILURE ANALYSIS; SYSTEMS ANALYSIS; TESTING