Development of an expert system for signal validation
Diagnosis of malfunctions in power plants has traditionally been in the domain of the process operator, who relies on training, experience, and reasoning ability to diagnose faults. The previous work in the development of operator aids for fault diagnosis has focused on detecting and diagnosing process anomalies. The most significant advances in the application of expert systems to process diagnostics has involved construction of computer models with interconnecting nodes. General principles of the plant process are used to isolate the cause of a possible anomaly to one of the nodes. Another approach to process diagnosis is to identify the cause of a possible anomaly with an event-cause model of the process. We describe a method of signal validation using expert system technology which detects possible anomalies in an instrument channel's output, similar to the procedure used by an operator.
- Research Organization:
- Tennessee Univ., Knoxville (USA). Dept. of Nuclear Engineering
- DOE Contract Number:
- AC02-86NE37959
- OSTI ID:
- 6711289
- Report Number(s):
- DOE/NE/37959-22; CONF-881011-22; ON: DE88017079
- Country of Publication:
- United States
- Language:
- English
Similar Records
Development of an expert system for signal validation: Topical report
Combined expert system/neural networks method for process fault diagnosis
Related Subjects
220400* -- Nuclear Reactor Technology-- Control Systems
220900 -- Nuclear Reactor Technology-- Reactor Safety
99 GENERAL AND MISCELLANEOUS
990210 -- Supercomputers-- (1987-1989)
COMPUTERIZED CONTROL SYSTEMS
CONTROL SYSTEMS
DATA BASE MANAGEMENT
EXPERT SYSTEMS
HUMAN FACTORS
MANAGEMENT
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
REACTOR INSTRUMENTATION
REACTOR SAFETY
SAFETY
SIGNALS
TESTING
THERMAL POWER PLANTS
VALIDATION