Reliability Assessments: Concepts, Models, and Case Studies [Paperback]

Selected Topics. Overview of Reliability Assessments. Concept of Random. Probability & Sampling. Reliability Functions. Reliability Model: Exponential. Reliability Models: Weibull & Lognormal. Bathtub Curves for Humans & Components. Introduction & Case Studies. Introduction to Case Study Modeling of Failure Data.

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 l3#