Stochastic Models in Reliability Engineering

Stochastic Models in Reliability Engineering

by Lirong Cui, Ilia Frenkel, Anatoly Lisnianski
Released July 2020
Publisher(s): CRC Press
ISBN: 9781000094619

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Book description

This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, all of which have seen extended research activities in recent years.

The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems.

The book presents real case studies of redundant multi-state air conditioning systems for chemical laboratories and covers assessments of reliability and fault tolerance and availability calculations. Conventional and contemporary topics in reliability engineering are discussed, including degradation, networks, dynamic reliability, resilience, and multi-state systems, all of which are relatively new topics to the field.

The book is aimed at engineers and scientists, as well as postgraduate students involved in reliability design, analysis, experiments, and applied probability and statistics.

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Editors
  8. Contributors
  9. Chapter 1 Reliability Analysis of a Pseudo Working Markov Repairable System
  10. Chapter 2 System Reliability Assessment with Multivariate Dependence Models
  11. Chapter 3 Reliability Modelling of Multi-Phased Linear Consecutively Connected Systems
  12. Chapter 4 A Method for Complex Multi-State Systems Reliability Analysis Based on Compression Inference Algorithm and Bayesian Network
  13. Chapter 5 Reliability Analysis of Demand-Based Warm Standby System with Multi-State Common Bus
  14. Chapter 6 An Upside-Down Bathtub-Shaped Failure Rate Model Using a DUS Transformation of Lomax Distribution
  15. Chapter 7 Reliability Analysis of Multi-State Systems with Dependent Failures Based on Copula
  16. Chapter 8 Modelling and Inference for Special Types of Semi-Markov Processes
  17. Chapter 9 Weighted Multi-Attribute Acceptance Sampling Plans
  18. Chapter 10 Reliability Assessment for Systems Suffering Common Cause Failure Based on Bayesian Networks and Proportional Hazards Model
  19. Chapter 11 Early Warning Strategy of Sparse Failures for Highly Reliable Products Based on the Bayesian Method
  20. Chapter 12 Fault Detection and Prognostics of Aero Engine by Sensor Data Analytics
  21. Chapter 13 Stochastic Modelling of Opportunistic Maintenance for Series Systems with Degrading Components
  22. Chapter 14 On Censored and Truncated Data in Survival Analysis and Reliability Models
  23. Chapter 15 Analysis of Node Resilience Measures for Network Systems
  24. Chapter 16 Reliability Analysis of General Purpose Parts for Special Vehicles Based on Durability Testing Technology
  25. Chapter 17 State of Health Prognostics of Lithium-Ion Batteries
  26. Chapter 18 Life Prediction of Device Based on Material’s Micro-Structure Evolution by Means of Computational Materials Science
  27. Chapter 19 Low-Cycle Fatigue Damage Assessment of Turbine Blades Using a Substructure-Based Reliability Approach
  28. Chapter 20 Phased-Mission Modelling of Physical Layer Reliability for Smart Homes
  29. Chapter 21 Comparative Reliability Analysis of Different Traction Drive Topologies for a Search-and-Rescue Helicopter
  30. Chapter 22 Reliability and Fault Tolerance Assessment of Different Operation Modes of Air Conditioning Systems for Chemical Laboratories
  31. Chapter 23 Dependability Analysis of Ship Propulsion Systems
  32. Chapter 24 Application of Markov Reward Processes to Reliability, Safety, Performance Analysis of Multi-State Systems with Internal and External Testing
  33. Chapter 25 Multi-Objective Maintenance Optimization of Complex Systems Based on Redundancy-Cost Importance
  34. Chapter 26 Which Replacement Maintenance Policy Is Better for Multi-State Systems?: Policy T or Policy N?
  35. Chapter 27 Design of Multi-Stress Accelerated Life Testing Plans Based on D-Optimal Experimental Design
  36. Chapter 28 An Extended Optimal Replacement Policy for a Simple Repairable Modelling
  37. Index

Product information

  • Title: Stochastic Models in Reliability Engineering
  • Author(s): Lirong Cui, Ilia Frenkel, Anatoly Lisnianski
  • Release date: July 2020
  • Publisher(s): CRC Press
  • ISBN: 9781000094619