Analog Fault Detection based on Statistical Analysis

dc.contributor.authorKhouas, Abdelhakim
dc.contributor.authorDerieux, Anne
dc.date.accessioned2021-02-23T09:26:00Z
dc.date.available2021-02-23T09:26:00Z
dc.date.issued2000
dc.description.abstractIn analog circuits, process variations result in physical parameter variations. Simulated values must then be considered with there 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 the fault detectability is a vague problem as the fault can either be completely detectable, partially detectable or completely undetectable which makes it very diOEcult to take a decision. In order to solve this decision problem, we have introduced the probability to detect fault (PDF) function which allows to formalize the problem of analog fault detection under parameter variationsen_US
dc.identifier.urihttps://hal.archives-ouvertes.fr/hal-01572773
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/6505
dc.language.isoenen_US
dc.publisherHalen_US
dc.relation.ispartofseriesASIM - Architecture des Systèmes intégrés et Micro électronique;
dc.subjectStatistical Analysisen_US
dc.subjectAnalog Faulten_US
dc.titleAnalog Fault Detection based on Statistical Analysisen_US
dc.typeArticleen_US

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