Probabilistic Risk Assessment: Nuclear Power Plants and Introduction to the Context of Cybersecurity

Carol Smidts, Indrajit Ray, Quanyan Zhu, Pavan Kumar Vaddi, Yunfei Zhao, Linan Huang, Xiaoxu Diao, Rakibul Talukdar, Michael C. Pietrykowski

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Nuclear power plants (NPPs) are some of the most complex engineering systems that consist of thousands of components working together to maintain a controlled nuclear fission to generate heat and convert that heat into usable energy. Failure of one or more components may have significant consequences. Hence, it is important to understand what can go wrong and what are the consequences if something went wrong and to quantify how likely it is for something to go wrong. The field of engineering that attempts to answer these is probabilistic risk assessment (PRA).

Original languageEnglish (US)
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages5-27
Number of pages23
DOIs
StatePublished - 2022

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

ASJC Scopus subject areas

  • Computer Science(all)

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