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Can I read Stochastic Models in Reliability Engineering (Advanced Research in Reliability and System Assurance Engineering) on EtoBox?
Stochastic Models in Reliability Engineering (Advanced Research in Reliability and System Assurance Engineering) by Cui, Lirong ;Frenkel, Ilia ;Lisnianski, Anatoly ;Cui, Lirong (editor);Frenkel, Ilia (editor);Lisnianski, Anatoly (editor) is a nonfiction available to read on EtoBox.
What is Stochastic Models in Reliability Engineering (Advanced Research in Reliability and System Assurance Engineering) about?
This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working at the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, all of which have seen extended research activities in recent years. The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems. The book presents real case studies of redundant multi-state air conditioning systems for chemical laboratories and covers assessments of reliability and fault tolerance and availability calculations. Conventional and contemporary topics in reliability engineering are discussed, including degradation, networks, dynamic reliability, resilience, and multi-state systems, all of which are relatively new topics to the field. The book is aimed at engineers and scientists, as well as postgraduate students involved in reliability design, analysis, experiments, and applied probabi
Who reads Stochastic Models in Reliability Engineering (Advanced Research in Reliability and System Assurance Engineering)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Cui, Lirong ;Frenkel, Ilia ;Lisnianski, Anatoly ;Cui, Lirong (editor);Frenkel, Ilia (editor);Lisnianski, Anatoly (editor)
- Publisher
- CRC Press, Taylor & Francis Group
- Published
- 2020
- Language
- EN
- ISBN
- 9781000094602
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Computer Science
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