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001 978-981-16-1792-8
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008 210502s2021 si | s |||| 0|eng d
020 _a9789811617928
_9978-981-16-1792-8
024 7 _a10.1007/978-981-16-1792-8
_2doi
050 4 _aT55.4-60.8
072 7 _aTGP
_2bicssc
072 7 _aTEC009060
_2bisacsh
072 7 _aTGP
_2thema
082 0 4 _a670
_223
100 1 _aPeng, Rui.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_949659
245 1 0 _aReliability Modelling and Optimization of Warm Standby Systems
_h[electronic resource] /
_cby Rui Peng, Qingqing Zhai, Jun Yang.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXII, 166 p. 76 illus., 20 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Related concepts in reliability modeling of warm standby systems -- Reliability of -out-of- warm standby systems -- Reliability of demand-based warm standby systems -- Reliability of warm standby systems with imperfect fault coverage and switching failure -- Optimal working sequence in a 1-out-of-n warm standby system -- Reliability Evaluation for Demand-based Warm Standby Systems Considering Degradation Process -- Reliability of demand-based warm standby system with common bus performance sharing -- Reliability of Warm Standby Systems with Phased-Mission Requirement -- Reliability of warm standby systems with complex structure.
520 _aThis book introduces the reliability modelling and optimization of warm standby systems. Warm standby is an attractive redundancy technique, as it consumes less energy than hot standby and switches into the active state faster than cold standby. Since a warm standby component experiences different failure rates in the standby state and active state, the reliability evaluation is challenging and the existing works are only restricted to very special cases. By adapting the decision diagrams, this book proposes the methodology to evaluate the reliability of different types of warm standby systems and studies the reliability optimization. Compared with existing works, the proposed methods allow the system to have an arbitrary number of components and allow the failure time distribution of components to observe arbitrary distributions. From this book, the readers can not only learn how to evaluate and optimize the reliability of warm standby systems but also use the methods to study the reliability of other complex systems.
650 0 _aIndustrial engineering.
_931641
650 0 _aProduction engineering.
_93683
650 0 _aMathematical models.
_94632
650 1 4 _aIndustrial and Production Engineering.
_931644
650 2 4 _aMathematical Modeling and Industrial Mathematics.
_933097
700 1 _aZhai, Qingqing.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_949660
700 1 _aYang, Jun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_949661
710 2 _aSpringerLink (Online service)
_949662
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811617911
776 0 8 _iPrinted edition:
_z9789811617935
776 0 8 _iPrinted edition:
_z9789811617942
856 4 0 _uhttps://doi.org/10.1007/978-981-16-1792-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78447
_d78447