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Analog Fault Diagnosis

Authors: Richard Saeks; Chwan-Chia Wu; Chin-Long Wey;

Analog Fault Diagnosis

Abstract

A simulation-after-test algorithm for the analog fault diagnosis problem is presented, in which a bound on the maximum number of simultaneous faults is used to minimize the number of test points required. Based on this self-testing algorithm, an analog automatic test program generation (AATPG) for both linear and nonlinear circuits and systems is being developed. The AATPG code is subdivided into off-line and on-line processes. The actual test can be run in either a fully automatic mode or interactively. In addition, the issues of parallel processing and testability for analog circuits and systems are also addressed.

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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).
    13
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
citations
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Average
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