Synopses & Reviews
This book gives a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows the analyst to formulate general failure models, establish formulae for computing various performance measures, and determine how to identify optimal replacement policies in complex situations. A number of special cases analyzed previously can be included in this framework. The book presents a unifying approach to some of the key areas of reliability theory, summarizing and extending results obtained in recent years. Although conceived mainly as a research monograph, the book can also be used for graduate courses and seminars. The book primarily addresses probabilists and statisticians with research interests in reliability. Parts of it are accessible to a broader group of readers, including operations researchers and engineers. A solid basis in probability and stochastic processes is required. Terje Aven is Professor of Reliability and Risk Analysis at the Stavanger University College and is currently also Adjunct Professor at the University of Oslo. Uwe Jensen is currently working as a Professor of Stochastics at the University of Ulm.
Review
This is an excellent book on mathematical, statistical and stochastic models in reliability. The authors have done an excellent job of unifying some of the stochastic models in reliability. The book is a good reference book but may not be suitable as a textbook for students in professional fields such as engineering. This book may be used for graduate level seminar courses for students who have had at least the first course in stochastic processes and some knowledge of reliability mathematics. It should be a good reference book for researchers in reliability mathematics. --Mathematical Reviews
Synopsis
A comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations.
Description
Includes bibliographical references (p. [253]-265) and index.
Table of Contents
Introduction.- Basic Reliability Theory.- Stochastic Failure Models.- Availability Analysis of Complex Systems.- Maintenance Optimization.