Stochastic Modeling for Reliability - Shocks, Burn-in and Heterogeneous populations (Hardcover, 2013 ed.)

Focusing on shocks modeling, burn-in and heterogeneous populations, Stochastic Modeling for Reliability naturally combines these three topics in the unified stochastic framework and presents numerous practical examples that illustrate recent theoretical findings of the authors. The populations of manufactured items in industry are usually heterogeneous. However, the conventional reliability analysis is performed under the implicit assumption of homogeneity, which can result in distortion of the corresponding reliability indices and various misconceptions. Stochastic Modeling for Reliability fills this gap and presents the basics and further developments of reliability theory for heterogeneous populations. Specifically, the authors consider burn-in as a method of elimination of 'weak' items from heterogeneous populations. The real life objects are operating in a changing environment. One of the ways to model an impact of this environment is via the external shocks occurring in accordance with some stochastic point processes. The basic theory for Poisson shock processes is developed and also shocks as a method of burn-in and of the environmental stress screening for manufactured items are considered. Stochastic Modeling for Reliability introduces and explores the concept of burn-in in heterogeneous populations and its recent development, providing a sound reference for reliability engineers, applied mathematicians, product managers and manufacturers alike.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Springer Series in Reliability Engineering
Release date:	April 2013
First published:	2013
Authors:	Maxim Finkelstein • Ji Hwan Cha
Dimensions:	235 x 155 x 32mm (L x W x T)
Format:	Hardcover
Pages:	388
Edition:	2013 ed.
ISBN-13:	978-1-4471-5027-5
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering
LSN:	1-4471-5027-9
Barcode:	9781447150275

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