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020 _a9783319634234
_9978-3-319-63423-4
050 4 _aTA169.7
050 4 _aT55-55.3
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072 7 _aTEC032000
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072 7 _aTGPR
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082 0 4 _a658.56
_223
245 1 0 _aRecent Advances in Multi-state Systems Reliability
_h[electronic resource] :
_bTheory and Applications /
_cedited by Anatoly Lisnianski, Ilia Frenkel, Alex Karagrigoriou.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXV, 373 p. 132 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Reliability Engineering,
_x1614-7839
500 _aAcceso multiusuario
505 0 _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.
520 _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.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aQuality control.
650 0 _aReliability.
650 0 _aIndustrial safety.
650 0 _aManufactures.
650 0 _aProbabilities.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aQuality Control, Reliability, Safety and Risk.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T22032
650 2 4 _aManufacturing, Machines, Tools, Processes.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T22050
650 2 4 _aProbability Theory and Stochastic Processes.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M27004
650 2 4 _aMathematical and Computational Engineering.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11006
700 1 _aLisnianski, Anatoly.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFrenkel, Ilia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKaragrigoriou, Alex.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319634227
776 0 8 _iPrinted edition:
_z9783319634241
776 0 8 _iPrinted edition:
_z9783319875521
830 0 _aSpringer Series in Reliability Engineering,
_x1614-7839
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-63423-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c242748
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