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Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering
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Stochastic Modeling for Reliability - Shocks, Burn-in and Heterogeneous populations (Paperback, 2013 ed.)
Loot Price: R5,456
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Stochastic Modeling for Reliability - Shocks, Burn-in and Heterogeneous populations (Paperback, 2013 ed.)
Series: Springer Series in Reliability Engineering
Expected to ship within 10 - 15 working days
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Focusing 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.
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