Stochastic Modeling for Reliability (Record no. 51706)

000 -LEADER
fixed length control field 03770nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-1-4471-5028-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220218.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130413s2013 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781447150282
-- 978-1-4471-5028-2
082 04 - CLASSIFICATION NUMBER
Call Number 658.56
100 1# - AUTHOR NAME
Author Finkelstein, Maxim.
245 10 - TITLE STATEMENT
Title Stochastic Modeling for Reliability
Sub Title Shocks, Burn-in and Heterogeneous populations /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 388 p.
490 1# - SERIES STATEMENT
Series statement Springer Series in Reliability Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 1.Introduction -- 2.Basic Stochastics for Reliability Analysis -- 3.Shocks and Degradation -- 4.Advanced Theory for Poisson Shock Models -- 5.Heterogeneous Populations -- 6.The basics of Burn-in -- 7.Burn-in for Repairable Systems -- 8.Burn-in for Heterogeneous Populations -- 9.Shocks as Burn-in -- 10.Stochastic Models for Environmental Stress Screening.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Cha, Ji Hwan.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-5028-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2013.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Production engineering.
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-- Quality control.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Reliability.
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-- Industrial safety.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Quality Control, Reliability, Safety and Risk.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial and Production Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1614-7839
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-- ZDB-2-ENG

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