
Applied Reliability Engineering and Risk Analysis
Probabilistic Models and Statistical Inference
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The first book to treat the important areas of degradation analysis, multi-state system reliability, networks, and large scale systems in one comprehensive volume, Applied Reliability Engineering and Risk Analysis presents a complete resource on the important developments in applied reliability engineering, probabilistic models, and risk analysis. Consolidating the latest research activities in several areas of reliability science, the text provides scientists, engineers, researchers, and students with all the recent advances, most up-to-date research, and results in the individual fields. Chapters are written by leaders in their respective fields.
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
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