This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working on the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, which have seen extended research activates in the recent years.
Methods presented in this book are real-world examples developed and demonstrating essential reliability and availability improvement for such industrial equipment as medical magnetic resonance inspection (MRI), 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, covers assessments of reliability and fault tolerance and availability calculations. Goes on to discuss conventional and contemporary topics in reliability engineering and includes degradation, networks and dynamic reliability, resilience and multi-state systems which are relatively new topics to the field.
The book is targeted to engineers and scientists, graduate and postgraduate students involved in reliability design, analysis and experiments, and applied probability and statistics.
Introduction. Part 1: Degradation Models. 1. A Study of Two-Phase Degradation Models under Hybrid Stochastic Processes with a Change Point. 2. Reliability Analysis of a Degradation System under Uncertain Random Environment. Part 2: Dynamic Reliability Models. 3. Nonlinear Dynamic Behavior of Slider-Crank Mechanism with Three-Dimension Revolute Joint Considering Wear-Involved Clearance. 4. Acceptance Sampling Plans for Products with Multiple Reliability Attributes. 5. Dynamic Reliability Assessment for Discrete Time Redundant Systems under Multiple Working Conditions. Part 3: Maintenance Models. 6. Two-Dimensional Warranty Cost Analysis for Complex Multi-Component Product Considering Imperfect Preventive Maintenance. 7. Maintenance Optimization of Reconfigurable System Based on Non-Dominated Sorting Genetic Algorithm. 8. Which Maintenance Policy is Better for Multi-State Degradation Systems: Policy T or Policy N? Part 4: Multi-State Systems Reliability. 9. A Method for Complex Multi-State Systems Reliability Analysis Based on Compression Inference Algorithm and Bayesian Network. 10. Mission-Availability Evaluation and Design Optimization of Multi-State K-out-of N Systems with Random Weight Threshold. 11. Reliability Modeling of Mulit-Phased Linear Consecutively Connected System. 12. Multi-State Reliability Modeling of Phased-Mission K-out-of N Systems. 13. Reliability and Fault Tolerance Assessment of the Redundant Multi-State Air Conditioning System for Chemical Laboratories. Part 5:Network Reliability Models. 14. The System Reliability of the Mobile Communication Network. 15. Topology-Based Resilience Measure in Network Systems. Part 6: Reliability Decision Making. 16. Combining MCDM with Data Streams Clustering in Equipment Health State Evaluation. 17. System Reliability Assessment with Multivariate Dependence Models. Part 7: Industrial Reliability Models. 18. Reliability of Smart Grid Systems with Warm Standby Spares and Imperfect Coverage. 19. Reliability Assessment of Microelectronic Devices using a Physics-of-Failure-Based Copula Approach. 20.Research on Fault Feature Extraction of Rolling Bearing Based on DEMD and Teager Energy Operation. 21. Multi-Mechanism Failure Probability Distribution Fusion for Semiconductor Devices Based on Maximum Entropy Theory. 22. Design and Discussion on Durability Test Conditions of Special Vehicles. 23. Comparative Reliability Analysis of Different Traction Drive Topologies for a Search-and-Rescue Helicopter. Part 8: Reliability Statistics. 24. Design of Multi-Stress Accelerated Life Testing Plans Based on D-Optional Experimental Design. 25. Early Warning Strategy of Sparse Failures for High Reliable Products Based on Bayesian Methods.