Stochastic Models in Reliability Engineering

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.

Preface

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

Index