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Title: Simulation-based diagnostics and control for nuclear power plants. Final report, April 15, 1992--April 14, 1995

Technical Report ·
DOI:https://doi.org/10.2172/125083· OSTI ID:125083

The objective of the project was to develop and test a simulation-based diagnostics and control guidance system that can be used to diagnose and manage off-normal transient events in nuclear power plants. The research has focused on developing two diagnostic approaches suitable for detection and identification of faults involving multiple components, subject to uncertainties in system modeling and observations. The first approach is based on a fuzzy logic framework that can diagnose binary failures using a single-failure diagnostic knowledge base. Construction of the binary-failure knowledge base is accomplished through the use of macroscopic conservation relationships and a fuzzy inference structure is developed to determine the magnitude of faults and the associated certainty. In the second diagnostic approach, an adaptive Kalman filter algorithm is derived to yield information on the type and magnitude of feasible component transitions that can account for system observations. To obtain the likelihood of feasible component failures or degradations, a general probabilistic formulation is developed where statistical distributions associated with component reliability data are explicitly represented. Testing of the diagnostic algorithms has been performed through the analysis of simulated transient events for light water reactor systems. Preliminary studies have been conducted to develop Monte Carlo algorithms for flexible control of transient events.

Research Organization:
Michigan Univ., Ann Arbor, MI (United States). Dept. of Nuclear Engineering
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
FG02-92ER75712
OSTI ID:
125083
Report Number(s):
DOE/ER/75712-3; ON: DE96001985; TRN: AHC29528%%118
Resource Relation:
Other Information: PBD: Jul 1995
Country of Publication:
United States
Language:
English