Use of neural networks in the operation of nuclear power plants
- Tennessee Univ., Knoxville, TN (USA) Oak Ridge National Lab., TN (USA)
Application of neural networks to the operation of nuclear power plants is being investigated under a US Department of Energy sponsored program at the University of Tennessee. Projects include the feasibility of using neural networks for the following tasks: (a) diagnosing specific abnormal conditions, (b) detection of the change of mode of operation, (c) signal validation, (d) monitoring of check valves, (e) modeling of the plant thermodynamics, (f) emulation of core reload calculations, (g) analysis of temporal sequences in NRC's licensee event report,'' (h) monitoring of plant parameters, and (i) analysis of plant vibrations. Each of these projects and its status are described briefly in this article. the objective of each of these projects is to enhance the safety and performance of nuclear plants through the use of neural networks. 6 refs.
- Research Organization:
- Oak Ridge National Lab., TN (USA)
- Sponsoring Organization:
- DOE/ER
- DOE Contract Number:
- AC05-84OR21400; FG07-88ER12824
- OSTI ID:
- 6492934
- Report Number(s):
- CONF-9010235-1; ON: DE91002326
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
220000* -- Nuclear Reactor Technology
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
COMPUTERIZED CONTROL SYSTEMS
CONTROL SYSTEMS
DIAGNOSTIC TECHNIQUES
FUEL CYCLE
MECHANICAL VIBRATIONS
MONITORING
NEURAL NETWORKS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
OPERATION
POWER PLANTS
REACTOR SAFETY
SAFETY
THERMAL POWER PLANTS
VALUES