Reliability, life testing and the prediction of service lives :
General Material Designation
[Book]
Other Title Information
for engineers and scientists /
First Statement of Responsibility
Sam C. Saunders.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2007.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xiii, 307 pages) :
Other Physical Details
illustrations
SERIES
Series Title
Springer series in statistics,
ISSN of Series
0172-7397
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 299-304) and index.
CONTENTS NOTE
Text of Note
Requistites -- Elements of Reliability -- Partitions And Selection -- Coherent Systems -- Applicable Life Distributions -- Philosophy, Science and Sense -- Non-Parametric Life Estimators -- Weibull Analysis -- Data: Diagnose and Consult -- Cumulative Damage Distributions -- Analysis of Dispersion -- Damage Processes -- Service Life of Structures -- Strength and Durability -- Maintenance of Systems -- Mathematical Appendix.
0
SUMMARY OR ABSTRACT
Text of Note
This book is intended for students and practitioners who have had a calculus-based statistics course and who have an interest in safety considerations such as reliability, strength, and duration-of-load or service life. Many persons studying statistical science will be employed professionally where the problems encountered are obscure, what should be analyzed is not clear, the appropriate assumptions are equivocal, and data are scant. Yet tutorial problems of this nature are virtually never encountered in coursework. In this book there is no disclosure with many of the data sets what type of investigation should be made or what assumptions are to be used. Most reliability practitioners will be employed where personal interaction between disciplines is a necessity. A section is included on communication skills to facilitate model selection and formulation based on verifiable assumptions, rather than favorable conclusions. However, whether the answer is "right" can never be ascertained. Past and current applications of stochastic modeling to life-length can only be a guide for future adaptations under different conditions, with new materials in unknown usages. This book unifies the study of cumulative-damage distributions, namely, Wald and Tweedie (i.e., inverse-Gaussian and its reciprocal) with "fatigue-life." These distributions are most useful when the coefficient-of-variation is more appropriate than is the variance as a measure of dispersion. It is shown, uniquely, that the same hyperbolic-sine transformation of each life length variate has a Chi-square one-df distribution. This property is useful in the sample statistics. These IHRA distributions realistically model life-length, strength or duration of load under linear cumulative damage and can be combined as approximations in non-linear situations. Sam C. Saunders has served as a research engineer for 17 years at the Boeing Scientific Research Laboratories, 20 years as a consultant to the Advisory Committee for Nuclear Safeguards, 10 years as a consultant to NIST, was a principal in the consulting firms Mathematical Analysis Research Corporation and Scientific Consulting Service; and was for 26 years a professor of Applied Mathematics/Statistics at Washington State University. He is a Fellow of the American Statistical Association and a former editor of Technometrics.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer
OTHER EDITION IN ANOTHER MEDIUM
Title
Reliability, life testing and the prediction of service lives.