Satisfying Safety Goals by Probabilistic Risk Assessment (Springer Series in Reliability Engineering)

This book describes how to satisfy safety goals by modern reliability engineering. It focuses on the quantitative aspects of the international standards using a methodological approach. All presented methodologies are illustrated through the use of case studies. The book discusses accident statistics and safety goals and describes abnormal event enumeration for the target system. Coverage also develops risk reduction mechanisms and discusses probabilistic risk assessment (PRA) models. In addition, the book presents conventional materials for basic event quantification, shows how to calculate safety criteria from the PRA models, evaluates uncertainties of point estimates of safety criteria, and considers how external event quantification can expand the scope of PRA.

Professor Hiromitsu Kumamoto is a Professor in the Graduate School of Informatics at Kyoto University. His research interests include Human Roles in Systems, Human-Machine Systems, Intelligent Transport Systems, and System Reliability and Safety Assessment.