Reliability Analysis and Modeling for Complex Systems is a crucial resource for engineers and technologists grappling with modern challenges. As technology advances and safety concerns mount, the complexity of systems like autonomous vehicles and critical infrastructure demands innovative reliability assessment methods. This book bridges theory and practice, offering practical solutions for professionals navigating the intricate world of reliability engineering. Through real-world case studies and interdisciplinary insights, it equips readers to address the multifaceted challenges of ensuring dependability in today's interconnected technological landscape.
1. Introduction to Reliability Analysis for Complex Systems
2. Probabilistic Modeling Techniques for Complex Systems
3. Bayesian Methods in Reliability Analysis
4. Reliability Assessment of Cyber-Physical Systems
5. Human Factors in Complex System Reliability
6. Reliability-Centered Maintenance for Complex Systems
7. Failure Mode and Effects Analysis (FMEA) for Complex Systems
8. Measuring Complexity of Engineering Systems
9. Case Studies in Reliability Analysis of Complex Systems
10. Reliability of Renewable Energy Systems
11. Reliability in Healthcare Systems
12. Reliability of Autonomous Vehicles
13. Future Trends in Complex System Reliability
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