Importance-Informed Reliability Engineering [electronic resource] / by Hongyan Dui, Shaomin Wu.

Por: Dui, Hongyan [author.]Colaborador(es): Wu, Shaomin [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Springer Series in Reliability EngineeringEditor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XIX, 216 p. 41 illus., 18 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031524554Tema(s): Operations research | Management science | Industrial engineering | Production engineering | Mechanical engineering | Electric power distribution | Mathematical optimization | Statistics  | Operations Research, Management Science | Industrial and Production Engineering | Mechanical Engineering | Energy Grids and Networks | Optimization | Applied StatisticsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 003 Clasificación LoC:T57.6-57.97T55.4-60.8Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

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.

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