TY  - BOOK
AU  - Lisnianski,Anatoly
AU  - Frenkel,Ilia
AU  - Karagrigoriou,Alex
ED  - SpringerLink (Online service)
TI  - Recent Advances in Multi-state Systems Reliability: Theory and Applications 
T2  - Springer Series in Reliability Engineering,
SN  - 9783319634234
AV  - TA169.7 
U1  - 658.56 23
PY  - 2018///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Quality control
KW  - Reliability
KW  - Industrial safety
KW  - Manufactures
KW  - Probabilities
KW  - Applied mathematics
KW  - Engineering mathematics
KW  - Quality Control, Reliability, Safety and Risk
KW  - Manufacturing, Machines, Tools, Processes
KW  - Probability Theory and Stochastic Processes
KW  - Mathematical and Computational Engineering
N1  - Acceso multiusuario; Reliability of a Network with Heterogeneous Components -- Reliability Analysis of Complex Multi-State System with Common Cause Failure Based on DS Evidence Theory and Bayesian Network -- A D-MMAP to Model a Complex Multi-state System with Loss of Units -- Modeling and Inference for Multi-state Systems -- Optimizing Availability and Performance of a Two-unit Redundant Multi-state Deteriorating System -- Phase-type Models and Their Extension to Competing Risks
N2  - This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years. It offers an up-to-date overview of the latest developments in reliability theory for multi-state systems, engineering applications to a variety of technical problems, and case studies that will be of interest to reliability engineers and industrial managers. It also covers corresponding theoretical issues, as well as case studies illustrating the applications of the corresponding theoretical advances. The book is divided into two parts: Modern Mathematical Methods for Multi-state System Reliability Analysis (Part 1), and Applications and Case Studies (Part 2), which examines real-world multi-state systems. It will greatly benefit scientists and researchers working in reliability, as well as practitioners and managers with an interest in reliability and performability analysis. It can also be used as a textbook or as a supporting text for postgraduate courses in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, and Operations Research
UR  - http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-63423-4
ER  -