Satisfying Safety Goals by Probabilistic Risk Assessment

Satisfying Safety Goals by Probabilistic Risk Assessment

Hiromitsu Kumamoto
Palgrave MacMillan UK
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Gewicht:
527 g
Format:
243x167x23 mm
Beschreibung:

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.

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.
Safety Goals and Risk-informed Decision Making.- Categorization by Safety Significance.- Realization of Category Requirements.- Hazard Identification and Risk Reduction.- Probabilistic Risk Assessment: PRA.- Basic Event Quantification.- System Event Quantification.- Dependent Failure Quantification.- Human-error Quantification.

Safety is an important issue today. International standards such as ISO and IEC advocated goal-based procedures of designing safer systems. This assumes safety goals are explicitly established.

This book is a methodological approach to the goal-based safety design procedure that will soon be an international requirement. Case studies illustrate the methodologies presented. The book: presents accident statistics and safety goals; describes abnormal event enumeration for the target system; develops risk reduction mechanisms; discusses probabilistic risk assessment (PRA) models; 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.

This book will interest senior undergraduates, postgraduates and researchers in this field, and reliability engineers, industry practitioners and regulatory authorities.

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