DocumentCode :
2731604
Title :
Ambient Use-Condition Models for Reliability Assessment
Author :
Gu, Chen ; Kwasnick, Robert F. ; Mielke, Neal R. ; Monroe, Eric M. ; Shirley, C. Glenn
Author_Institution :
Intel Corp., Hillsboro, OR
fYear :
2006
fDate :
26-30 March 2006
Firstpage :
299
Lastpage :
306
Abstract :
We describe methods of computing reliability acceleration for realistic temperature/humidity use-condition models. We extract outdoor temperature/humidity models based on NOAA data, and indoor and automotive interior models by using the NOAA data combined with additional data which characterizes thermal and human behavior (thermostat settings). We compare predictions of these models with traditional reliability assessments, and provide useful models to represent the results
Keywords :
failure analysis; humidity; semiconductor device models; semiconductor device reliability; humidity use-condition model; reliability assessment; temperature use-condition model; Acceleration; Automotive engineering; Data mining; Failure analysis; Humans; Humidity; Predictive models; Statistics; Temperature distribution; Thermostats;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability Physics Symposium Proceedings, 2006. 44th Annual., IEEE International
Conference_Location :
San Jose, CA
Print_ISBN :
0-7803-9498-4
Electronic_ISBN :
0-7803-9499-2
Type :
conf
DOI :
10.1109/RELPHY.2006.251232
Filename :
4017173
Link To Document :
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