Reliability Modelling: A Statistical Approach / Edition 1

by Linda C. C. Wolstenholme, Linda C. Wolstenholme

Overview

Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package to provide a comprehensive treatment of modelling, from the basics through advanced modelling techniques.

The book begins by presenting a thorough grounding in the elements of modelling the lifetime of a single, non-repairable unit. Assuming no prior knowledge of the subject, the author includes a guide to all the fundamentals of probability theory, defines the various measures associated with reliability, then describes and discusses the more common lifetime models: the exponential, Weibull, normal, lognormal and gamma distributions. She concludes the groundwork by looking at ways of choosing and fitting the most appropriate model to a given data set, paying particular attention to two critical points: the effect of censored data and estimating lifetimes in the tail of the distribution.

The focus then shifts to topics somewhat more difficult:

the difference in the analysis of lifetimes for repairable versus non-repairable systems and whether repair truly "renews" the system

methods for dealing with system with reliability characteristic specified for more than one component or subsystem

the effect of different types of maintenance strategies

the analysis of life test data

The final chapter provides snapshot introductions to a range of advanced models and presents two case studies that illustrate various ideas from throughout the book.

Product Details

ISBN-13:	9781584880141
Publisher:	Taylor & Francis
Publication date:	06/25/1999
Edition description:	New Edition
Pages:	272
Product dimensions:	6.00(w) x 9.00(h) x (d)

Table of Contents

Basic Concepts. Common Lifetime Models. Model Selection. Model Fitting. Repairable Systems. System Reliability. Models for Functions of Random Variables. Maintenance Strategies. Life Testing and Inference. Advanced Models. Useful Mathematical Techniques.

Editorial Reviews

Wolstenholme (City University, London) explains modeling of both component and system lifetime to the level required for engineering and mathematical master's degrees. The textbook uses the MINITAB package as the principal statistical tool for analysis and illustration. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

"This is a lucid introduction to many important ideas in reliability. In describing the various models and techniques the author includes plenty of practical advice about their usuage. Frequent and well-developed examples illustrate and extend the techniques and there are two brief case studies at the end of the book. By studying these examples carefully, the student will learn much about the difficult art of formulating useful models."
—Biometrics, June 2000

From the Publisher