Enhancing nuclear power plant performance through the use of artificial intelligence
The objective of this research is to advance the state-of-the-art of applying artificial intelligence technology (both expert systems and neural networks) to enhancing the performance (safety, efficiency, control and management) of nuclear power plants. A second, but equally important, objective is to build a broadly based critical mass of expertise in the artificial intelligence field that can be brought to bear on the technology of nuclear power plants. This means the production of graduates at the B.S., M.S., and Ph.D. levels in Nuclear Engineering and related fields. The research undertaken for this program is particularly appropriate for the M.S. theses and Ph.D. dissertations. A third objective is to transfer the technology developed to the nuclear power community,'' as well as the scientific and technological community,'' through publications in appropriate journals and proceedings and through presentations at national and international meetings.
- Research Organization:
- Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- FG07-88ER12824
- OSTI ID:
- 7166897
- Report Number(s):
- DOE/ER/12824-2; ON: DE92040991
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
NUCLEAR POWER PLANTS
ARTIFICIAL INTELLIGENCE
COMPUTERIZED CONTROL SYSTEMS
EXPERT SYSTEMS
NEURAL NETWORKS
PERFORMANCE
PROGRESS REPORT
REACTOR ACCIDENTS
ACCIDENTS
CONTROL SYSTEMS
DOCUMENT TYPES
NUCLEAR FACILITIES
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
POWER PLANTS
THERMAL POWER PLANTS
220400* - Nuclear Reactor Technology- Control Systems
990200 - Mathematics & Computers
220900 - Nuclear Reactor Technology- Reactor Safety
220100 - Nuclear Reactor Technology- Theory & Calculation