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Reliability Assessments - Concepts, Models, and Case Studies (Paperback)
Loot Price: R1,788
Discovery Miles 17 880
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Reliability Assessments - Concepts, Models, and Case Studies (Paperback)
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This book provides engineers and scientists with a single source
introduction to the concepts, models, and case studies for making
credible reliability assessments. It satisfies the need for
thorough discussions of several fundamental subjects. Section I
contains a comprehensive overview of assessing and assuring
reliability that is followed by discussions of: * Concept of
randomness and its relationship to chaos * Uses and limitations of
the binomial and Poisson distributions * Relationship of the
chi-square method and Poisson curves * Derivations and applications
of the exponential, Weibull, and lognormal models * Examination of
the human mortality bathtub curve as a template for components
Section II introduces the case study modeling of failure data and
is followed by analyses of: * 5 sets of ideal Weibull, lognormal,
and normal failure data * 83 sets of actual (real) failure data The
intent of the modeling was to find the best descriptions of the
failures using statistical life models, principally the Weibull,
lognormal, and normal models, for characterizing the failure
probability distributions of the times-, cycles-, and
miles-to-failure during laboratory or field testing. The
statistical model providing the preferred characterization was
determined empirically by choosing the two-parameter model that
gave the best straight-line fit in the failure probability plots
using a combination of visual inspection and three statistical
goodness-of-fit (GoF) tests. This book offers practical insight in
dealing with single item reliability and illustrates the use of
reliability methods to solve industry problems.
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