Reliability of Nuclear Power Plants - Methods, Data and Applications
Reliability of Nuclear Power Plants - Methods, Data and Applications
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- More about Reliability of Nuclear Power Plants - Methods, Data and Applications
The field of industrial reliability has evolved significantly since the 1970s,with the development of specific and innovative methods for the nuclear power plants. This book presents and illustrates these methods with real study cases,addressing the evolution of reliability methods,experience feedback and expertise,the reliability of socio-technical systems,probabilistic safety assessments,structural reliability,equipment reliability,maintenance,human and organizational factors,and big data. It is intended for all those who are faced with a reliability assessment of their installations or equipment.
Format: Hardback
Length: 304 pages
Publication date: 10 November 2022
Publisher: ISTE Ltd
Since the 1970s, the field of industrial reliability has undergone a significant transformation, largely driven by the design and early operation of the first generation nuclear power plants. This evolution has necessitated the development of specialized and innovative reliability methods, which have since been embraced and adapted by various other industrial sectors. Consequently, the management of uncertainties and Health and Usage Monitoring Systems have emerged as key areas of focus. In this industry, reliability assessment approaches have matured, providing a robust set of methods, data, and tools that can be confidently applied to a wide range of industrial applications.
The purpose of this book is to present and illustrate these methodologies through real-world study cases. It addresses various aspects of reliability, including the evolution of reliability methods, experience feedback and expertise (as data plays a crucial role in estimating reliability), the reliability of socio-technical systems, probabilistic safety assessments, structural reliability and probabilistic models in mechanics, equipment reliability, the impact of maintenance on equipment behavior, human and organizational factors, and the role of big data in reliability.
Written by a team of experts from the nuclear sector, including engineers, statisticians, and specialists in human and organizational factors, this book is designed for a broad audience. It caters to decision-makers, engineers, designers, operation or maintenance engineers, project managers, human and organizational factors specialists, experts, regulatory inspectors, teachers, researchers, and doctoral students who are involved in conducting reliability assessments of their installations or equipment.
The book offers a comprehensive and up-to-date overview of the field, covering the latest developments and best practices. It provides valuable insights into the challenges and opportunities associated with reliability assessment, helping readers. Readers to make informed decisions and develop effective strategies for improving the reliability of their systems and equipment.
In conclusion, this book is a valuable resource for anyone seeking to enhance their understanding of industrial reliability and its applications. It offers a comprehensive and interdisciplinary approach, drawing on expertise from various fields to provide a comprehensive understanding of the topic
The evolution of reliability methods, experience feedback and expertise (as data is essential for estimating reliability), the reliability of socio-technical systems and probabilistic safety assessments, the structural reliability and probabilistic models in mechanics, the reliability of equipment and the impact of maintenance on their behavior, human and organizational factors and the impact of big data on reliability. Finally, some R&D perspectives that can be developed in the future are presented.
Written by several engineers, statisticians and human and organizational factors specialists in the nuclear sector, this book is intended for all those who are faced with a reliability assessment of their installations or equipment: decision-makers, engineers, designers, operation or maintenance engineers, project managers, human and organizational factors specialists, experts and regulatory inspectors, teachers.
Weight: 453g
Dimension: 10 x 10 x 10 (mm)
ISBN-13: 9781786307613
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