LEADER 04440nam  22006855  450 
001 9910299881403321
005 20200701045349.0
010   $a3-319-63423-2
024 7 $a10.1007/978-3-319-63423-4
035   $a(CKB)3710000001630999
035   $a(MiAaPQ)EBC4947037
035   $a(DE-He213)978-3-319-63423-4
035   $a(PPN)203850920
035   $a(EXLCZ)993710000001630999
100   $a20170812d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aRecent Advances in Multi-state Systems Reliability $eTheory and Applications /$fedited by Anatoly Lisnianski, Ilia Frenkel, Alex Karagrigoriou
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (378 pages) $cillustrations
225 1 $aSpringer Series in Reliability Engineering,$x1614-7839
311   $a3-319-63422-4 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aReliability 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.
330   $aThis book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years. It offers an up-to-date overview of the latest developments in reliability theory for multi-state systems, engineering applications to a variety of technical problems, and case studies that will be of interest to reliability engineers and industrial managers. It also covers corresponding theoretical issues, as well as case studies illustrating the applications of the corresponding theoretical advances. The book is divided into two parts: Modern Mathematical Methods for Multi-state System Reliability Analysis (Part 1), and Applications and Case Studies (Part 2), which examines real-world multi-state systems. It will greatly benefit scientists and researchers working in reliability, as well as practitioners and managers with an interest in reliability and performability analysis. It can also be used as a textbook or as a supporting text for postgraduate courses in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, and Operations Research.
410  0$aSpringer Series in Reliability Engineering,$x1614-7839
606   $aQuality control
606   $aReliability
606   $aIndustrial safety
606   $aManufactures
606   $aProbabilities
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032
606   $aManufacturing, Machines, Tools, Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/T22050
606   $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
615  0$aQuality control.
615  0$aReliability.
615  0$aIndustrial safety.
615  0$aManufactures.
615  0$aProbabilities.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615 14$aQuality Control, Reliability, Safety and Risk.
615 24$aManufacturing, Machines, Tools, Processes.
615 24$aProbability Theory and Stochastic Processes.
615 24$aMathematical and Computational Engineering.
676   $a620.00452
702   $aLisnianski$b Anatoly$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aFrenkel$b Ilia$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aKaragrigoriou$b Alex$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299881403321
996   $aRecent Advances in Multi-state Systems Reliability$92532490
997   $aUNINA