DocumentCode :
425717
Title :
Data mining integrated circuit fails with fail commonalities
Author :
Huisman, Leendert M. ; Kassab, Maroun ; Pastel, Leah
Author_Institution :
IBM Microelectron., Essex Junction, VT, USA
fYear :
2004
fDate :
26-28 Oct. 2004
Firstpage :
661
Lastpage :
668
Abstract :
We describe ways to use fail data from many failing integrate circuits (ICs) to determine which ICs failed because of similar causes, rather than to determine the cause of each individual failing IC. The purpose of finding clusters of similarly failing ICs is to focus on systematic defects, and to de-emphasize random ones. Once large groups of similarly failing ICs have been identified, a selection of the ICs in each group can be diagnosed using standard diagnostic routines.
Keywords :
data mining; failure analysis; integrated circuit reliability; data mining; fail commonalities; failure diagnosis; integrated circuit fails; standard diagnostic routines; Circuits; Data mining; Dictionaries; Failure analysis; Fault diagnosis; Inspection; Manufacturing processes; Microelectronics; Object detection; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Test Conference, 2004. Proceedings. ITC 2004. International
Print_ISBN :
0-7803-8580-2
Type :
conf
DOI :
10.1109/TEST.2004.1387327
Filename :
1387327
Link To Document :
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