DocumentCode
2426485
Title
Prediction of product failure rate due to event-related failure mechanisms
Author
Lin, Don L. ; Welsher, Teny L.
Author_Institution
Lucent Technol., AT&T Bell Labs., Princeton, NJ, USA
fYear
1998
fDate
19-22 Jan 1998
Firstpage
339
Lastpage
344
Abstract
Individual events in the use environment such as accidentally dropping a cellular phone or zapping it with human body ESD (electrostatic discharge) are getting more frequent as electronic products are becoming more portable. Monte Carlo simulations of the stress distribution offered by the environment and the product strength distribution are used to derive the infant mortality (early failure) curve. Fitting the slope of the infant mortality curve is an indicator of how far apart the two distributions are and the frequency of individual events. Two new metrics, SIM (severity of infant mortality) and D5%, to track infant mortality are proposed. The process to set test-based reliability requirements for achieving a given field return goal is also illustrated
Keywords
Monte Carlo methods; curve fitting; fault trees; reliability theory; Monte Carlo simulations; early failure curve; electronic products; event-related failure mechanisms; field return goal; infant mortality curve; product failure rate prediction; product strength distribution; severity of infant mortality; stress distribution; test-based reliability requirements; Cellular phones; Circuits; Consumer electronics; Curve fitting; Electrostatic discharge; Failure analysis; Frequency; Hazards; Humans; Predictive models; Safety; Stress; Testing; Time to market;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 1998. Proceedings., Annual
Conference_Location
Anaheim, CA
ISSN
0149-144X
Print_ISBN
0-7803-4362-X
Type
conf
DOI
10.1109/RAMS.1998.653802
Filename
653802
Link To Document