Importance-Informed Reliability Engineering (Springer Series in Reliability Engineering)

✍ Scribed by Hongyan Dui, Shaomin Wu

• Publisher: Springer
• Year: 2024
• Tongue: English
• Leaves: 232
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Preface
Acknowledgements
Contents
Acronyms
Annotation
1 Introduction
1.1 Basic Concepts of Reliability
1.1.1 Reliability Function
1.1.2 Failure Rate Function
1.1.3 Reliability Bath-Tub Curve
1.2 System Reliability Analysis
1.2.1 Reliability of a Series System
1.2.2 Reliability of a Parallel System
1.2.3 Reliability of a kk-out-of-nn System
1.2.4 Reliability Improvement and Optimisation for Non-repairable Systems
1.2.5 Types of Engineered Systems
1.3 Optimisation of Maintenance Policies for Items with Non-observable …
1.3.1 Stochastic Processes for Modelling Times-Between-Failures
1.3.2 Two Widely Used Replacement Policies
1.4 Optimisation of Maintenance Policies for Items with Observable …
1.4.1 Gamma Process
1.4.2 Wiener Process
1.4.3 Maintenance Policy for Items Modelled by the Gamma Process or the Weiner Process
1.5 Importance Measures
1.6 Resilience
References
2 Importance Measures Informed Reliability Design
2.1 Gradient Computations and Geometrical Meaning of Importance Measures
2.1.1 A New Multi-criteria Importance Measure Oriented to Reliability Improvement
2.1.2 Importance Measure of System Reliability Upgrade for Multi-state Consecutive kk-out-of-nn Systems
2.2 Importance Measures for System Reconfiguration
2.2.1 Introduction
2.2.2 Importance Measure Analysis for Reconfigurable Systems
2.2.3 Importance Measures for System Reconfiguration in Linear Consecutive-kk-out-of-nn Systems
2.3 Joint Importance Measures for Reliability Design
2.3.1 The Calculation of Joint Reliability Importance in kk-out-of-nn: F Systems
2.3.2 Analysis for the Relevant Properties of the Joint Reliability Importance in kk-out-of-nn: F Systems
2.3.3 The Calculation and Analysis of Joint Reliability Importance in Consecutive kk-out-of-nn: F System
2.4 Joint Importance Measures for System Reconfiguration
2.4.1 Joint Integrated Importance Measure (JIIM)
2.4.2 Joint Differential Importance Measure (JDIM)
2.4.3 Binary Systems
2.4.4 Multistate Systems
2.4.5 Properties of Joint Importance Measures for Optimal Structure
2.5 Summary
References
3 Importance Measures for Optimisation of Cost Independent Maintenance Policies
3.1 Performance-Based Importance Measures for Optimisation of Maintenance Policies
3.1.1 An Extended Joint Integrated Importance Measure
3.1.2 Two Importance Measures
3.2 Reliability-Based Importance Measures for Optimisation of Maintenance Policies
3.2.1 Priority Under Case I
3.2.2 Priority Under Case II
3.2.3 Linking Maintenance Policies
3.2.4 When Maintenance Budget Is Limited
3.2.5 Preventive Maintenance Strategies Considering Environmental Importance
3.3 Importance-Informed Component Maintenance Priority
3.4 Optimise the Number of Components for Preventive Maintenance
3.5 Summary
References
4 Importance Measures for Optimisation of Cost-Based Maintenance Policies
4.1 Cost-Based Importance Measures for Optimisation of Preventive …
4.1.1 Literature Review for Maintenance
4.1.2 A Cost-Based Component Maintenance Importance
4.1.3 A Cost-Based IIM
4.2 Cost-Based Joint Importance Measures for Optimisation of PM Policies
4.2.1 Different Cost Analysis on System Lifetime Change
4.2.2 Component PM on the Expected Losses
4.3 Component Importance Measures for Systems with Different Maintenance Policies
4.3.1 The Age Replacement Maintenance Policy Based on Importance of Maintenance Cost
4.3.2 A PM Policy Based on Importance of Maintenance Cost
4.3.3 The Operation Maintenance Policy Based on Importance of Maintenance Cost
4.3.4 Cost-Based Risk Analysis
4.4 Summary
References
5 Importance Measures for Networks
5.1 Failure Analysis for Mono-layer Networks
5.1.1 Modelling the Mono-layer Network
5.1.2 Node Failure and Edge Failure
5.1.3 Network Failure
5.1.4 Cascading Failure Analysis for Mono-layer Networks
5.2 Failure Analysis for Multi-layer Networks
5.2.1 Related Work
5.2.2 Classified Nodes
5.2.3 Classified Clusters
5.2.4 Relative Circulation Indicators
5.2.5 Cascading Failure Models in a Special Multi-layer Network
5.2.6 Construction of Failure Model
5.3 Maintenance Priority Importance for Networks
5.3.1 Node Maintenance
5.3.2 Edge Maintenance
5.3.3 Cooperative Maintenance of Nodes and Edges
5.4 Summary
References
6 Importance Measures for Resilience Management
6.1 A Resilience Measure by Node and Edge Indicators …
6.1.1 The Node Resilience for Monolayer Networks
6.1.2 The Absolute Real-Time Load Transfer Rate
6.1.3 The Relative Real-Time Load Transfer Rate
6.1.4 Node Resilience
6.1.5 Edge Resilience for Monolayer Networks
6.2 Residual Resilience Assessment for Monolayer Infrastructure Networks
6.2.1 Definition and Quantification of Resilience of Infrastructure Network
6.2.2 Residual Resilience Optimisation Model for the Infrastructure Network
6.3 Resilience Importance for the Monolayer Network
6.3.1 Performance Change of Monolayer Network
6.3.2 Resilience Importance of Monolayer Network
References
7 Case Studies
7.1 Wind Power Systems
7.1.1 Reliability of Wind Power Systems
7.1.2 Importance Measure Gradients for Wind Power Systems
7.1.3 Case Study
7.2 Satellite Attitude Control System
7.2.1 Degradation Modelling in External Shocks
7.2.2 Case Study
7.3 Rocket Vertical Assembly and Test Plant System
7.3.1 Fault Analysis of Rocket Vertical Assembly and Test Plant System
7.3.2 Case Study
7.4 Reliability and Repair Analysis of Complex Systems Under Multi-level Disasters
7.4.1 Expected Loss Analysis of Complex Systems Under Multi-level Disasters Based on Markov Model
7.4.2 Repair Analysis of Complex Systems Under Multi-level Disasters
7.4.3 IEEE18-Node Standard Power Distribution System Case Study
7.5 Land Transport Network Systems
7.5.1 Performance Change of Land Transport Network
7.5.2 Case Study
7.6 Summary
References