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
Link To Document :
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