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A Fault Dictionary-Based Fault Diagnosis Approach for CMOS Analog Integrated Circuits

Authors: Mouna Karmani; Chiraz Khedhiri; Belgacem Hamdi; Brahim Bensalem;

A Fault Dictionary-Based Fault Diagnosis Approach for CMOS Analog Integrated Circuits

Abstract

In this paper, we propose a simulation-before-test (SBT) fault diagnosis methodology based on the use of a fault dictionary approach. This technique allows the detection and localization of the most likely defects of open-circuit type occurring in Complementary Metal–Oxide–Semiconductor (CMOS) analog integrated circuits (ICs) interconnects. The fault dictionary is built by simulating the most likely defects causing the faults to be detected at the layout level. Then, for each injected fault, the spectre’s frequency responses and the power consumption obtained by simulation are stored in a table which constitutes the fault dictionary. In fact, each line in the fault dictionary constitutes a fault signature used to identify and locate a considered defect. When testing, the circuit under test is excited with the same stimulus, and the responses obtained are compared to the stored ones. To prove the efficiency of the proposed technique, a full custom CMOS operational amplifier is implemented in 0.25 µm technology and the most likely faults of opencircuit type are deliberately injected and simulated at the layout level.

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Keywords

Fast Fourier Transform (FFT), power consumption, fault diagnosis, fault dictionary, Analog testing, opencircuit fault

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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