Stochastic models in reliability engineering
by Cui, Lirong Frenkel, Ilia Lisnianski, Anatoly
"This volume is a selected of papers on stochastic models in system reliability, which are presented in the Third International Symposium on Stochastic Models in Reliability Engineering, Life Sciences and Operations Management (SMRLO-2019) held in Beijing, China, from May 28-31, 2019. Methods presented in this book are real-world examples developed and demonstrating essential reliability and availability improvement for such industrial equipment as medical magnetic resonance inspection (MRI), p…
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- Full title :Stochastic models in reliability engineering / edited by Lirong Cui, Ilia Frenkel, and Anatoly Lisnianski.
Summary
"This volume is a selected of papers on stochastic models in system reliability, which are presented in the Third International Symposium on Stochastic Models in Reliability Engineering, Life Sciences and Operations Management (SMRLO-2019) held in Beijing, China, from May 28-31, 2019. Methods presented in this book are real-world examples developed and demonstrating essential reliability and availability improvement for such industrial equipment as medical magnetic resonance inspection (MRI), power systems, traction drives for a search and rescue helicopter, and air conditioning systems. Presented real case studies include the redundant multi-state air conditioning systems for chemical laboratories, covers assessments of reliability and fault tolerance and availability calculations. Discusses conventional and contemporary topics in reliability engineering and includes degradation, networks and dynamic reliability, resilience and multi-state systems which are the relatively new topics to the field. Targeted to engineers and scientists, graduate and postgraduate students involved in reliability design, analysis and experiments and applied probability and statistics"--
Read More ↓Edition Statements
- Publication Date:©2021
- Edition:First edition
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:©2021
The Physical Object
- Description:xviii, 464 pages : : illustrations (black and white) ; : 25 cm.
Edition Identifiers
- ISBN:9780367345853, 0367345854
- oclc:on1142948320
- LC Classification:TA169
- Dewey Decimal:620/.004520151922
Table of Contents
Reliability analysis of A pseudo working Markov repairable system / Bei Wu and Lirong Cui -- System reliability assessment with multivariate dependence models / Rong Pan and Guanqi Fang -- Reliability modeling of multi-phased linear consecutively connected systems / Kaiye Gao, Xiangbin Yan, Hui Xiao, Rui Peng.
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