BWR shutdown analyzer using artificial intelligence techniques

Technical Report · Mon Jul 01 04:00:00 EDT 1985

OSTI ID:5656837

Cain, D G

A prototype alarm system for detecting abnormal reactor shutdowns based on artificial intelligence technology is described. The system incorporates knowledge about Boiling Water Reactor (BWR) plant design and component behavior, as well as knowledge required to distinguish normal, abnormal and ATWS accident conditions. The system was developed using a software tool environment for creating knowledge-based applications on a LISP machine. To facilitate prototype implementation and evaluation, a causal simulation of BWR shutdown sequences was developed and interfaced with the alarm system. An intelligent graphics interface for execution and control is described. System performance considerations and general observations relating to artificial intelligence application to nuclear power plant problems are provided.

• Research Organization: Electric Power Research Inst., Palo Alto, CA (USA)
• OSTI ID: 5656837
• Report Number(s): EPRI-NP-4139-SR; ON: TI85920750
• Country of Publication: United States
• Language: English

Related Subjects

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
210100* -- Power Reactors
Nonbreeding
Light-Water Moderated
Boiling Water Cooled
ACCIDENTS
ALARM SYSTEMS
ANALOG SYSTEMS
ARTIFICIAL INTELLIGENCE
ATWS
BWR TYPE REACTORS
COMPUTER GRAPHICS
FUNCTIONAL MODELS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
REACTOR ACCIDENTS
REACTOR SHUTDOWN
REACTOR SIMULATORS
REACTORS
SHUTDOWNS
SIMULATORS
THERMAL POWER PLANTS
WATER COOLED REACTORS
WATER MODERATED REACTORS