Evaluation of a Kalman filter based power pressurizer instrument failure detection system implemented on a nuclear power plant training simulator
The usefulness of a nuclear power plant training simulator for developing and testing modern estimation and control applications for nuclear power plants is demonstrated. A Kalman filter based instrument failure detection technique for a pressurized water reactor pressurizer is implemented on the Department of Energy N Reactor Training Simulator. This real-time failure detection method computes the first two moments (mean and variance) of each element of a normalized filter innovations vector. Failed pressurizer instrumentation can be detected by comparing these moments to the known statistical properties of the steady state, linear Kalman fitler innovations sequence. The capabilities of the detection system are evaluated using simulated plant transients and instrument failures.
- Research Organization:
- UNC Nuclear Industries, Inc., Richland, WA (USA)
- DOE Contract Number:
- AC06-76RL01857
- OSTI ID:
- 6053129
- Report Number(s):
- UNI-SA-133; CONF-8503113-3; ON: DE85008433
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
210200* -- Power Reactors
Nonbreeding
Light-Water Moderated
Nonboiling Water Cooled
ANALOG SYSTEMS
ENRICHED URANIUM REACTORS
FAILURES
FILTERS
FUNCTIONAL MODELS
GRAPHITE MODERATED REACTORS
LWGR TYPE REACTORS
N-REACTOR
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
PLUTONIUM PRODUCTION REACTORS
POWER PLANTS
POWER REACTORS
PRESSURIZERS
PRODUCTION REACTORS
PWR TYPE REACTORS
REACTOR INSTRUMENTATION
REACTOR SIMULATORS
REACTORS
SIMULATORS
THERMAL POWER PLANTS
TRAINING
WATER COOLED REACTORS
WATER MODERATED REACTORS