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2008 Annual Reliability and Maintainability Symposium
Application of generalized linear models for optimizing production stress testing
Las Vegas, NV, USA
January 28-January 31
ISBN: 978-1-4244-1460-4
ASCII Text
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Bahman Honari, John Donovan, Toby Joyce, Simon Wilson, "Application of generalized linear models for optimizing production stress testing," Reliability and Maintainability Symposium, pp. 267-271, 2008 Annual Reliability and Maintainability Symposium, 2008.
 
 
BibTex
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@article{ 10.1109/RAMS.2008.4925806,
author = {Bahman Honari and John Donovan and Toby Joyce and Simon Wilson},
title = {Application of generalized linear models for optimizing production stress testing},
journal ={Reliability and Maintainability Symposium},
volume = {0},
year = {2008},
isbn = {978-1-4244-1460-4},
pages = {267-271},
doi = {http://doi.ieeecomputersociety.org/10.1109/RAMS.2008.4925806},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Reliability and Maintainability Symposium
TI - Application of generalized linear models for optimizing production stress testing
SN - 978-1-4244-1460-4
SP267
EP271
A1 - Bahman Honari,
A1 - John Donovan,
A1 - Toby Joyce,
A1 - Simon Wilson,
PY - 2008
VL - 0
JA - Reliability and Maintainability Symposium
ER -
 
Bahman Honari, CTVR, Institute of Technology Sligo, Ireland
John Donovan, CTVR, Institute of Technology Sligo, Ireland
Toby Joyce, CTVR, Alcatel-Lucent Technologies, Ireland
Simon Wilson, CTVR, Department of Statistics, Trinity College, Ireland
Accelerated environmental stress tests (EST) are applied during the manufacturing process to improve reliability by precipitating and detecting latent defects. This test represents an in-process manufacturing screen and the objective of performing it is to avoid early field failures that reduce the customer satisfaction level and increase warranty and compensation costs.
Citation:
Bahman Honari, John Donovan, Toby Joyce, Simon Wilson, "Application of generalized linear models for optimizing production stress testing," rams, pp.267-271, 2008 Annual Reliability and Maintainability Symposium, 2008
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