Generating rules in expert systems for nuclear power plant diagnostics
Conference
·
· Transactions of the American Nuclear Society; (USA)
OSTI ID:5322134
Construction of a suitable rule base currently represents the most difficult, arduous, and time-consuming task involved in expert system development. In this paper a technique is discussed for automatically codifying the information in existing fault tress in the form of rules and an inference algorithm is presented which is suitable for diagnosing component failures from fault-tree-constructed rules. The algorithm uses a matrix representation of the rule base and fuzzy logic as the inferencing mechanism. An example of the diagnosis of failures in an electric power system using the system's fault tree is presented. An approach for generating rules form experience is also discussed.
- OSTI ID:
- 5322134
- Report Number(s):
- CONF-871101--
- Conference Information:
- Journal Name: Transactions of the American Nuclear Society; (USA) Journal Volume: 55:3
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
22 GENERAL STUDIES OF NUCLEAR REACTORS
220900* -- Nuclear Reactor Technology-- Reactor Safety
ALGORITHMS
ANALOG SYSTEMS
ARTIFICIAL INTELLIGENCE
DECISION MAKING
EMERGENCY PLANS
EXPERT SYSTEMS
FAULT TREE ANALYSIS
FUNCTIONAL MODELS
MATHEMATICAL LOGIC
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
REACTOR PROTECTION SYSTEMS
REACTOR SIMULATORS
SIMULATORS
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
THERMAL POWER PLANTS
220900* -- Nuclear Reactor Technology-- Reactor Safety
ALGORITHMS
ANALOG SYSTEMS
ARTIFICIAL INTELLIGENCE
DECISION MAKING
EMERGENCY PLANS
EXPERT SYSTEMS
FAULT TREE ANALYSIS
FUNCTIONAL MODELS
MATHEMATICAL LOGIC
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
REACTOR PROTECTION SYSTEMS
REACTOR SIMULATORS
SIMULATORS
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
THERMAL POWER PLANTS