中国P站

Abstract

Probabilistic risk assessment (PRA) is a systematic and quantitative methodology used to evaluate risks associated with complex systems by incorporating the likelihood of various uncertain events. Unlike traditional deterministic approaches, PRA integrates statistical analysis and probability theory to assess potential failures and their consequences. Widely employed in industries such as nuclear energy, aerospace, healthcare, and environmental management, PRA helps organizations prioritize risks, implement controls, and optimize safety measures. This paper presents a comprehensive overview of PRA, discussing its fundamental principles, methodology, applications, and real-world implications. By exploring various case studies and highlighting both strengths and limitations, this article aims to provide a deeper understanding of PRA as an essential tool for risk-informed decision-making in high-stakes environments.