Enhancing nuclear power plant performance through the use of artificial intelligence

Technical Report · Tue Mar 31 04:00:00 EST 1992

OSTI ID:7232017

Maren, A J; Miller, L F; Tsoukalas, L H; Uhrig, R E; Upadhyaya, B R

The objective of this research was 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, was 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.

• Research Organization: Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering
• Sponsoring Organization: DOE; USDOE, Washington, DC (United States)
• DOE Contract Number: FG07-88ER12824
• OSTI ID: 7232017
• Report Number(s): DOE/ER/12824-3; ON: DE92040992
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
220400* -- Nuclear Reactor Technology-- Control Systems
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ARTIFICIAL INTELLIGENCE
COMPUTERIZED CONTROL SYSTEMS
CONTROL SYSTEMS
DOCUMENT TYPES
EXPERT SYSTEMS
FUZZY LOGIC
MATHEMATICAL LOGIC
NEURAL NETWORKS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
PERFORMANCE
POWER PLANTS
PROGRESS REPORT
REACTOR CONTROL SYSTEMS
THERMAL POWER PLANTS