Published 1994
| Version v1
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A qualitative model construction method of nuclear power plants for effective diagnostic knowledge generation
Creators
- 1. Power Reactor and Nuclear Fuel Development Corp., Oarai, Ibaraki (Japan). Oarai Engineering Center
Description
This paper discusses a method to construct a qualitative model of a nuclear power plant, in order to generate effective diagnostic knowledge. The proposed method is to prepare deep knowledge to be provided to a knowledge compiler based upon qualitative reasoning (QR). Necessity of knowledge compilation for nuclear plant diagnosis will be explained first, and conventionally-experienced problems in qualitative reasoning and a proposed method to overcome this problem is shown next, then a sample procedure to build a qualitative nuclear plant model is demonstrated. (author)
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Additional details
Publishing Information
- Imprint Title
- Proceedings of specialists' meeting on application of artificial intelligence and robotics to nuclear plants
- Imprint Pagination
- 431 p.
- Journal Page Range
- p. 95-106.
- Report number
- INIS-JP--027
Conference
- Title
- specialists' meeting on application of artificial intelligence and robotics to nuclear plants.
- Acronym
- AIR'94
- Dates
- 30 May - 1 Jun 1994.
- Place
- Tokai, Ibaraki (Japan).
INIS
- Country of Publication
- Japan
- Country of Input or Organization
- Japan
- INIS RN
- 26047480
- Subject category
- S22: GENERAL STUDIES OF NUCLEAR REACTORS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; DATA COMPILATION; EXPERT SYSTEMS; KNOWLEDGE BASE; NUCLEAR POWER PLANTS; REACTOR MONITORING SYSTEMS; RESEARCH PROGRAMS; SIMULATION
- Descriptors DEC
- NUCLEAR FACILITIES; POWER PLANTS; THERMAL POWER PLANTS