Reliability Analysis and Modeling for Complex Systems
- 1st Edition - September 1, 2025
- Imprint: Elsevier
- Editors: Seifedine Kadry, Shubham Mahajan
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 6 5 5 - 3
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 6 5 6 - 0
Reliability Analysis and Modeling for Complex Systems is a crucial resource for engineers and technologists grappling with modern challenges. As technology advances and safety… Read more
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Request a sales quoteReliability 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.
- Dives deeply into advanced probabilistic modeling and analysis techniques tailored for complex systems. This content addresses the needs of reliability engineers and researchers who seek to apply cutting-edge methods to their projects
- Includes interdisciplinary perspectives, such as human factors and cyber-physical systems, which is essential for addressing the real-world challenges the target audience faces. This approach will help readers tackle complex system reliability from multiple angles
- Real-world case studies that bridge theory and practice, helping practitioners and academics understand how to apply reliability analysis to complex systems in various domains
Reliability Engineers and Practitioners. Researchers and Academics in Reliability Engineering
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
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
- Edition: 1
- Published: September 1, 2025
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443336553
- eBook ISBN: 9780443336560
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Seifedine Kadry
Seifedine Kadry is a Professor in the Department of Mathematics and Computer Science, at Norrof University College, in Norway. He has a Bachelor’s degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present, his research focuses on data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguished speaker of IEEE Computer Society.
Affiliations and expertise
Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon; Department of Applied Data Science, Noroff University College, Kristiansand, NorwaySM
Shubham Mahajan
Shubham Mahajan is a distinguished academic and professional member of prestigious organizations such as IEEE, ACM, and IAENG. He specializes in artificial intelligence and image processing, holding eighteen Indian patents along with one each from Australia and Germany. His contributions to the field are further evidenced by his publications, which includes over 94 articles published in peer-reviewed journals and conferences and 10 edited books.
Affiliations and expertise
Assistant Professor, Amity School of Engineering and Technology (ASET) Amity University, India