LEADER 03458nam 2200529Ia 450 001 9910437774203321 005 20200520144314.0 010 $a1-4471-5028-7 024 7 $a10.1007/978-1-4471-5028-2 035 $a(OCoLC)840603425 035 $a(MiFhGG)GVRL6YHL 035 $a(CKB)2670000000369976 035 $a(MiAaPQ)EBC1205275 035 $a(EXLCZ)992670000000369976 100 $a20130506d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aStochastic modelling for reliability $eshocks, burn-in and heterogeneous populations /$fMaxim Finkelstein, Ji Hwan Cha 205 $a1st ed. 2013. 210 $aLondon ;$aNew York $cSpringer$dc2013 215 $a1 online resource (xiv, 388 pages) $cillustrations 225 1 $aSpringer series in reliability engineering 300 $aDescription based upon print version of record. 311 $a1-4471-5855-5 311 $a1-4471-5027-9 320 $aIncludes bibliographical references and index. 327 $a1.Introduction -- 2.Basic Stochastics for Reliability Analysis -- 3.Shocks and Degradation -- 4.Advanced Theory for Poisson Shock Models -- 5.Heterogeneous Populations -- 6.The basics of Burn-in -- 7.Burn-in for Repairable Systems -- 8.Burn-in for Heterogeneous Populations -- 9.Shocks as Burn-in -- 10.Stochastic Models for Environmental Stress Screening. 330 $aFocusing on shocks modeling, burn-in and heterogeneous populations, Stochastic Modeling for Reliability naturally combines these three topics in the unified stochastic framework and presents numerous practical examples that illustrate recent theoretical findings of the authors.  The populations of manufactured items in industry are usually heterogeneous. However, the conventional reliability analysis is performed under the implicit assumption of homogeneity, which can result in distortion of the corresponding reliability indices and various misconceptions. Stochastic Modeling for Reliability fills this gap and presents the basics and further developments of reliability theory for heterogeneous populations. Specifically, the authors consider burn-in as a method of elimination of ?weak? items from heterogeneous populations. The real life objects are operating in a changing environment. One of the ways to model an impact of this environment is via the external shocks occurring in accordance with some stochastic point processes. The basic theory for Poisson shock processes is developed and also shocks as a method of burn-in and of the environmental stress screening for manufactured items are considered. Stochastic Modeling for Reliability introduces and explores the concept of burn-in in heterogeneous populations and its recent development, providing a sound reference for reliability engineers, applied mathematicians, product managers and manufacturers alike. 410 0$aSpringer series in reliability engineering. 606 $aStochastic models 606 $aReliability (Engineering) 615 0$aStochastic models. 615 0$aReliability (Engineering) 676 $a003.76 676 $a620.004520151922 700 $aFinkelstein$b Maxim$0771093 701 $aCha$b Ji Hwan$01064694 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437774203321 996 $aStochastic modelling for reliability$94184750 997 $aUNINA