Enhancing nuclear power plant performance through the use of artificial intelligence. Final (third annual) report, June 1, 1990--March 31, 1992: Part 1, Overview and publications

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

OSTI ID:10182907

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: USDOE, Washington, DC (United States)
• DOE Contract Number: FG07-88ER12824
• OSTI ID: 10182907
• Report Number(s): DOE/ER/12824-3; ON: DE92040992
• Resource Relation: Other Information: PBD: 31 Mar 1992
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
NUCLEAR POWER PLANTS
REACTOR CONTROL SYSTEMS
ARTIFICIAL INTELLIGENCE
PROGRESS REPORT
PERFORMANCE
EXPERT SYSTEMS
NEURAL NETWORKS
FUZZY LOGIC
COMPUTERIZED CONTROL SYSTEMS
220400
990200
CONTROL SYSTEMS
MATHEMATICS AND COMPUTERS