Applied reliability engineering and risk analysis probabilistic models and statistical inference 1st Edition by Ilia Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre V Kleyner ISBN 1118701933 9781118701942

Applied reliability engineering and risk analysis probabilistic models and statistical inference 1st Edition by Ilia Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre V. Kleyner – Ebook PDF Instant Download/Delivery: 1118701933, 9781118701942

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Product details:

ISBN 10: 1118701933

ISBN 13: 9781118701942 

Author: Ilia Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre V. Kleyner 

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.

With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century.

Key features include:

• expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields
• detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration
• many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry

Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics.

Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist

Table of contents:

Part I: Degradation Analysis, Multi-State and Continuous-State System Reliability

1. Methods of Solutions of Inhomogeneous Continuous Time Markov Chains for Degradation Process Modeling

2. Multistate Degradation and Condition Monitoring for Devices with Multiple Independent Failure Modes

3. Time Series Regression with Exponential Errors for Accelerated Testing and Degradation Tracking

4. Inverse Lz-Transform for a Discrete-State Continuous-Time Markov Process and Its Application to Multi-State System Reliability Analysis

5. On the Lz-Transform Application for Availability Assessment of an Aging Multi-State Water Cooling System for Medical Equipment

6. Combined Clustering and Lz-Transform Technique to Reduce the Computational Complexity of a Multi-State System Reliability Evaluation

7. Sliding Window Systems with Gaps

8. Development of Reliability Measures Motivated by Fuzzy Sets for Systems with Multi- or Infinite-States

9. Imperatives for Performability Design in the Twenty-First Century

Part II: Networks and Large-Scale Systems

10. Network Reliability Calculations Based on Structural Invariants

11. Performance and Availability Evaluation of IMS-Based Core Networks

12. Reliability and Probability of First Occurred Failure for Discrete-Time Semi-Markov Systems

13. Single-Source Epidemic Process in a System of Two Interconnected Networks

Part III: Maintenance Models

14. Comparisons of Periodic and Random Replacement Policies

15. Random Evolution of Degradation and Occurrences of Words in Random Sequences of Letters

16. Occupancy Times for Markov and Semi-Markov Models in Systems Reliability

17. A Practice of Imperfect Maintenance Model Selection for Diesel Engines

18. Reliability of Warm Standby Systems with Imperfect Fault Coverage

Part IV: Statistical Inference in Reliability

19. On the Validity of the Weibull-Gnedenko Model

20. Statistical Inference for Heavy-Tailed Distributions in Reliability Systems

21. Robust Inference Based on Divergences in Reliability Systems

22. COM-Poisson Cure Rate Models and Associated Likelihood-Based Inference with Exponential and Weibull Lifetimes

23. Exponential Expansions for Perturbed Discrete Time Renewal Equations

24. On Generalized Extreme Shock Models under Renewal Shock Processes

Part V: Systemability, Physics-of-Failure and Reliability Demonstration

25. Systemability Theory and Its Applications

26. Physics-of-Failure Based Reliability Engineering

27. Accelerated Testing: Effect of Variance in Field Environmental Conditions on the Demonstrated Reliability

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Tags: Ilia Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre V Kleyner, Applied Reliability Engineering, Risk Analysis, Probabilistic Models, Statistical Inference