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πŸ“

Reliability and Life-Cycle Analysis of Deteriorating Systems

✍ Scribed by Mauricio SÑnchez-Silva, Georgia-Ann Klutke (auth.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
371
Series
Springer Series in Reliability Engineering
Edition
1
Category
Library

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✦ Synopsis


This book compiles and critically discusses modern engineering system degradation models and their impact on engineering decisions. In particular, the authors focus on modeling the uncertain nature of degradation considering both conceptual discussions and formal mathematical formulations. It also describes the basics concepts and the various modeling aspects of life-cycle analysis (LCA). It highlights the role of degradation in LCA and defines optimum design and operation parameters. Given the relationship between operational decisions and the performance of the system’s condition over time, maintenance models are also discussed.

The concepts and models presented have applications in a large variety of engineering fields such as Civil, Environmental, Industrial, Electrical and Mechanical engineering. However, special emphasis is given to problems related to large infrastructure systems. The book is intended to be used both as a reference resource for researchers and practitioners and as an academic text for courses related to risk and reliability, infrastructure performance modeling and life-cycle assessment.

✦ Table of Contents


Front Matter....Pages i-xxiv
Engineering Decisions for Long-Term Performance of Systems....Pages 1-20
Reliability of Engineered Systems....Pages 21-45
Basics of Stochastic Processes, Point and Marked Point Processes....Pages 47-78
Degradation: Data Analysis and Analytical Modeling....Pages 79-116
Continuous State Degradation Models....Pages 117-149
Discrete State Degradation Models....Pages 151-185
A Generalized Approach to Degradation....Pages 187-209
Systematically Reconstructed Systems....Pages 211-230
Life-Cycle Cost Modeling and Optimization....Pages 231-270
Maintenance Concepts and Models....Pages 271-324
Back Matter....Pages 325-355

✦ Subjects


Quality Control, Reliability, Safety and Risk; Probability Theory and Stochastic Processes; Civil Engineering


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