Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Pattern-recognition software for plant surveillance

Conference · · Trans. Am. Nucl. Soc.; (United States)
OSTI ID:6194066
A power plant in steady-state operation has almost all plant signals in definite relations to each other, and a new approach to plant surveillance, which compares the patterns representing these relations, has been used to measure the consistency of many plant signals simultaneously and so derive a measure of the validity of each individual signal. In the application of this process, the real plant is used as a model from which to learn the pattern relations, and the surveillance function compares learned signal values with currently observed signal values by using contrast-enhancing, pattern-recognition algorithms. System state analyzer (SSA) software embodying this technique has been developed for the daily surveillance of the Experimental Breeder Reactor-II (EBR-II) at the Argonne National Laboratory-West site.
Research Organization:
Energy Inc., Idaho Falls, ID (US); Argonne National Lab. West, Idaho Falls, ID (US)
OSTI ID:
6194066
Report Number(s):
CONF-870837-
Conference Information:
Journal Name: Trans. Am. Nucl. Soc.; (United States) Journal Volume: 54:1
Country of Publication:
United States
Language:
English