DocumentCode
1745199
Title
FDP: fault detection probability function for analog circuits
Author
Khouas, Abdelhakim ; Derieux, Anne
Author_Institution
LIP6 Lab., Paris Univ., France
Volume
4
fYear
2001
fDate
6-9 May 2001
Firstpage
17
Abstract
In analog integrated circuits, process variations result in physical parameter variations. Simulated performance values must then be considered with their tolerance intervals. Consequently, contrarily to digital circuits where the outputs are either `0´ or `1´ such that we can decide without ambiguity whether a fault is detectable or not, for analog circuits fault detectability is still a value problem since the fault can either be completely detectable, partially detectable or completely undetectable which makes it very difficult to take a decision. In order to solve this decision problem, we have introduced the fault detection probability (FDP) function which allows to formalize the problem of analog fault detection subjected to parameter variations
Keywords
analogue integrated circuits; fault simulation; integrated circuit testing; tolerance analysis; analog integrated circuit; fault detection probability function; fault simulation; tolerance analysis; Analog circuits; Circuit faults; Circuit simulation; Circuit testing; Computational modeling; Costs; Electrical fault detection; Fault detection; Gaussian distribution; Probability;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-6685-9
Type
conf
DOI
10.1109/ISCAS.2001.922157
Filename
922157
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