
Reliability and Decision Making
Chapman & Hall/CRC (Publisher)
1st Edition
Will be published approx. on 1. September 1993
Book
Hardback
386 pages
978-0-412-53480-5 (ISBN)
Description
The very scope of reliability analyses is to take decisions relative to engineering systems. This commands for radical changes in the probabilistic/statistical techniques used in reliability practice. Since the decisions to be taken have an engineering/economical relevance (one can incur a loss if the system fails before mission time), the superimposed cost structure does play a central role in any reliability problem. Only the Bayesian predictive approach allows to combine harmonically together, costs and probabilities. Using a predictive approach means to assess one's own probability distribution on the observable random quantities of interest (for example, on the failure time of a system). The probability assessment is possibly made on the basis of some statistical evidence. In this view, parameters of probability distributions are just a computational aid to derive the probability of interest. From the Bayesian predictive standpoint, any reliability problem (even a system reliability problem) becomes a decision problem in face of uncertainty. Uncertainty can be mitigated by some forthcoming statistical evidence; the latter has, in general, a dynamic character. It is often the case that one can exercise some control on the forthcoming information. First decisions to be taken when coping with a reliability problem is then: what course of actions will make the control on the forthcoming information optimal (in some suitable sense)? The need of answering this question and the dynamic character of the statistical evidence require the use of the theory of point process, of the theory of stochastic control and of the theory of stochastic filtering. The volume aims to enlighten the reasons which motivated the changes in the mathematical technology of reliability theory, and to give the readers an insight into the disciplines which recently started playing an important role in the reliability field. This volume should be of interest to both reliability theoreticians and practitioners.
Reviews / Votes
"This book is an important reference and is a must for university and industrial libraries."-Technometrics
More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 216 mm
Width: 138 mm
Weight
603 gr
ISBN-13
978-0-412-53480-5 (9780412534805)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Barlow, Richard E.; Claroti, C.A.; Spizzichino, Fabio
Author
University of California
University of Rome, Rome, Italy
Content
Preface, Acknowledgments, List of Contributors, Section 1 Fundamentals of Statistical Decision Theory, Section 2 Sequential Problems in Reliability: a Dynamical Approach, Section 3 Bayesian Models in Reliability and Quality Control, Section 4 Engineering Reliability, Index