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New direction of nuclear code development: artificial intelligence...

by Lianshan Lin, Xing Wang
Publication Type
Book Chapter
Publication Date
Page Numbers
543 to 551
Publisher Name
Elsevier Science
Publisher Location
Cambridge, Massachusetts, United States of America

It has been a long-lasting aspiration of the nuclear power community to apply artificial intelligence (AI) technologies to nuclear power plants (NPPs), as AI is expected to substantially improve the efficiency, reliability, and continuity of NPPs. Along with the recent rise of AI featured with machining learning, there is an ever-increasing interest in utilizing the data-orientated technologies for nuclear power. In this chapter, we provide a brief summary of the history of AI and the previous efforts on introducing AI to nuclear reactor systems in 1980s. These histories suggest that although with a promising future, AI in NPPs also faces unique challenges, which are still not fully addressed and need special attention. We also introduced some recent studies that apply machine learning techniques to nuclear code development.

Keywords: Nuclear power plants, code for nuclear power, artificial intelligence, expert system, machine learning