Proceedings. 16th IEEE Symposium on Computer Arithmetic
DOI: 10.1109/dftvs.2003.1250102
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3DSDM: A 3 data-source diagnostic method

Abstract: The goal of this paper is to present a diagnosis method for bridging faults combining three different data sources: IB DDQ B measurements, logical behavior and layout parasitic capacitances. The resulting hybrid method constitutes a significant improvement over an existing one based on IB DDQ B probabilistic signatures. Combining these data contributes to reduce the number of potential fault sites to consider in the diagnosis process, and therefore accelerate this process. Simulation results show that the numb… Show more

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Cited by 6 publications
(1 citation statement)
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References 23 publications
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“…This is the starting point of the second step, where the fault location is carried out by finding the location that causes the expected current values match experimental measures. In subsequent works [131]- [132], Hariri and Thibeault proposed a diagnostic method combining three data sources, namely: I DDQ measures to identify the most probable bridging faults, parasitic capacitances extracted from layout to create a list of realistic bridges and finally, logical errors produced by logic fault simulation to perform fault isolation. The I DDQ stage procedure is based on delta I DDQ probabilistic signatures previously proposed in [129] and [130].…”
Section: Bridging Fault Diagnosismentioning
confidence: 99%
“…This is the starting point of the second step, where the fault location is carried out by finding the location that causes the expected current values match experimental measures. In subsequent works [131]- [132], Hariri and Thibeault proposed a diagnostic method combining three data sources, namely: I DDQ measures to identify the most probable bridging faults, parasitic capacitances extracted from layout to create a list of realistic bridges and finally, logical errors produced by logic fault simulation to perform fault isolation. The I DDQ stage procedure is based on delta I DDQ probabilistic signatures previously proposed in [129] and [130].…”
Section: Bridging Fault Diagnosismentioning
confidence: 99%