Stochastic models in reliability engineering / edited by Lirong Cui, Ilia Frenkel and Anatoly Lisnianski.
| Other author | Cui, Lirong, 1960- |
| Other author | Frenkel, Ilia, 1950- |
| Other author | Lisnianski, Anatoly. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2020. |
| Description | pages cm |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Partial 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. |
| Abstract | "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"-- Provided by publisher. |
| General note | Includes index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020010183 |
| ISBN | 9780367345853 (hardback ; acid-free paper) |
| ISBN | (ebook) |