Description
Book SynopsisThis 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
Table of Contents
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.
