The objective of this program is to design, construct operate, test, and evaluate prototype integrated monitoring and diagnostic system for nuclear power plant. Over the past decade, the University of Tennessee UT and others have carried out many projects utilizing various methodologies of artificial intelligence expert systems, neural networks, fuzzy systems and genetic algorithms to enhance the performance safety, efficiency, reliability, and availability of nuclear power plant transients, and increase in thermal power through monitoring of DNBR Deviation from Nucleate Boiling Regime.

OVERVIEW. It is anticipated that this technology will have wide application to other complex systems fossil power plants, chemical processing plants, and possibly air traffic control systems. The objective of this program is to design, construct operate, test, and evaluate prototype integrated monitoring and diagnostic system for nuclear power plant.

Over the past decade, the University of Tennessee UT and others have carried out many projects utilizing various methodologies of artificial intelligence expert systems, neural networks, fuzzy systems and genetic algorithms to enhance the performance safety, efficiency, reliability, and availability of nuclear power plant transients, and increase in thermal power through monitoring of DNBR Deviation from Nucleate Boiling Regime. The objective of this program is to design, construct operate, test, and evaluate prototype integrated monitoring and diagnostic system for nuclear power plant.
Tags: algorithms