DocumentCode :
1867820
Title :
Study and implementation conditions of the multivariate outlier detection methods for screening of potential field failures
Author :
Berges, Corinne ; Chunlei Wu ; Soufflet, Pierre
Author_Institution :
Analog & Sensor Bus. Quality Group, Freescale Semicond. France SAS, Toulouse, France
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
167
Lastpage :
172
Abstract :
In semiconductor manufacturing for automotive, reliability constraints are strong: zero defect is expected by specific statistical techniques. In particular, distributions of the parametric electrical tests implemented at the probe or assembly steps, are controlled, test by test. In order to increase reliability in field by enhancement of potential failure screening, new techniques of test result distribution monitoring are studied with a multivariate approach, when all the test results are addressed simultaneously.
Keywords :
automotive electronics; integrated circuit manufacture; integrated circuit reliability; integrated circuit testing; statistical analysis; automotive application; field failure screening; multivariate outlier detection methods; semiconductor manufacturing; Automotive engineering; Clustering methods; Correlation; Manufacturing; Principal component analysis; Reliability; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Physical and Failure Analysis of Integrated Circuits (IPFA), 2015 IEEE 22nd International Symposium on the
Conference_Location :
Hsinchu
Type :
conf
DOI :
10.1109/IPFA.2015.7224358
Filename :
7224358
Link To Document :
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