Importance-Informed Reliability Engineering

2024
ISBN: 978-3-031-52454-7
Verlag: Springer Nature Switzerland

Buch, Englisch, 216 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 524 g

Reihe: Springer Series in Reliability Engineering

This book provides university students and practitioners with a collection of importance measures to design systems with high reliability, maintain them with high availability, and restore them in case of failures.

Optimal reliability design, properly system maintenance and resilience management are vital for retaining a high level of system availability. Reliability importance measures, which are used to identify the weakest components from different perspectives, can be used to achieve this goal.

The book has seven parts. Chapter 1 introduces the basic concepts. Chapter 2 focuses on importance measures for the system design phase and introduces how the system reliability can be improved with importance measures. Chapters 3 and 4 provide importance measures-related methods for scheduling maintenance policies under different scenarios. Chapter 5 provides importance measures for networks. Chapter 6 proposes importance measures for resilience management. The last chapter, or Chapter 7, illustrates the importance measures with case studies adopted from four types of systems: mechanical systems, energy systems, transport networks, and supply chain networks.

Zielgruppe

Research

Autoren/Hrsg.

Wu, Shaomin

Dui, Hongyan

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik Mathematik Operations Research
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Introduction.- Importance measures-informed reliability design.- Importance measures for optimization of cost-independent maintenance policies.- Importance measures for optimization of cost-based maintenance policies.- Importance measures for networks.- Importance measures for resilience management.- Case studies.

Über Autor(innen)

Dr Dui has been working as a university teacher since 2014. He has 76 papers, including 45+ in component importance, which is the subject of this book.

Dr Wu spent five years’ experience as a senior data analyst in a manufacturer in Shanghai, China. He has 21 years’ experience in the UK higher education sector. He has published 100+ journal papers, including seven journal papers on component importance.