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