An expert system for sensor data validation and malfunction detection

Conference · Thu Jan 01 04:00:00 EST 1987

OSTI ID:5489532

Hashemi, S; Hajek, B K; Miller, D W

Nuclear power plant operation and monitoring in general is a complex task which requires a large number of sensors, alarms and displays. At any instant in time, the operator is required to make a judgment about the state of the plant and to react accordingly. During abnormal situations, operators are further burdened with time constraints. The possibility of an undetected faulty instrumentation line, adds to the complexity of operators' reasoning tasks. Failure of human operators to cope with the conceptual complexity of abnormal situations often leads to more serious malfunctions and further damages to plant (TMI-2 as an example). During these abnormalities, operators rely on the information provided by the plant sensors and associated alarms. Their usefulness however, is quickly diminished by their large number and the extremely difficult task of interpreting and comprehending the information provided by them. The need for an aid to assist the operator in interpreting the available data and diagnosis of problems is obvious. Recent work at the Ohio State University Laboratory of Artificial Intelligence Research (LAIR) and the nuclear engineering program has concentrated on the problem of diagnostic expert systems performance and their applicability to the nuclear power plant domain. There has also been concern about the diagnostic expert systems performance when using potentially invalid sensor data. Because of this research, an expert system has been developed that can perform diagnostic problem solving despite the existence of some conflicting data in the domain. This work has resulted in enhancement of a programming tool, that allows domain experts to create a diagnostic system that will be to some degree, tolerant of bad data while performing diagnosis. This expert system is described here.

• Research Organization: Ohio State Univ., Columbus (USA)
• DOE Contract Number: AC02-86NE37965
• OSTI ID: 5489532
• Report Number(s): CONF-870832-8; ON: DE88004920
• 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
22 GENERAL STUDIES OF NUCLEAR REACTORS
220400 -- Nuclear Reactor Technology-- Control Systems
220900* -- Nuclear Reactor Technology-- Reactor Safety
99 GENERAL AND MISCELLANEOUS
990210 -- Supercomputers-- (1987-1989)
ACCIDENTS
ALARM SYSTEMS
ARTIFICIAL INTELLIGENCE
BWR TYPE REACTORS
COMPUTERIZED CONTROL SYSTEMS
CONTROL SYSTEMS
DATA
DATA COVARIANCES
DECISION MAKING
DECISION TREE ANALYSIS
DISPLAY DEVICES
EXPERT SYSTEMS
FAILURES
HUMAN FACTORS
INFORMATION
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
OPERATION
PERSONNEL
POWER PLANTS
REACTOR ACCIDENTS
REACTOR MONITORING SYSTEMS
REACTOR OPERATION
REACTOR OPERATORS
REACTOR SAFETY
REACTORS
REMOTE SENSING
SAFETY
SIGNALS
TESTING
THERMAL POWER PLANTS
VALIDATION
WATER COOLED REACTORS
WATER MODERATED REACTORS