Potential applications of neural networks to nuclear power plants
- Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering
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: diagnosing specific abnormal conditions, detection of the change of mode of operation, signal validation, monitoring of check valves, plant-wide monitoring using autoassociative neural networks, modeling of the plant thermodynamics, emulation of core reload calculations, monitoring of plant parameters, and 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.
- Research Organization:
- Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering; Oak Ridge National Lab., TN (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States); Electric Power Research Inst., Palo Alto, CA (United States)
- DOE Contract Number:
- FG07-88ER12824; AC05-84OR21400
- OSTI ID:
- 10107136
- Report Number(s):
- CONF-911135--1; ON: DE93003540
- Country of Publication:
- United States
- Language:
- English
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