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Defect Diagnosis Using a Current Ratio Based Quiescent Signal Analysis Model for Commercial Power Grids

Chintan PatelContact Information, Ernesto StaroswieckiContact Information, Smita PawarContact Information, Dhruva AcharyyaContact Information and Jim PlusquellicContact Information

(1) Department of CSEE, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD-, 21250, USA

Abstract  Quiescent Signal Analysis (QSA) is a novel electrical-test-based diagnostic technique that uses I DDQ measurements made at multiple chip supply pads as a means of locating shorting defects in the layout. The use of multiple supply pads reduces the adverse effects of leakage current by scaling the total leakage current over multiple measurements. In previous work, a resistance model for QSA was developed and demonstrated on a small circuit. In this paper, the weaknesses of the original QSA model are identified, in the context of a production power grid (PPG) and probe card model, and a new model is described. The new QSA algorithm is developed from the analysis of I DDQ contour plots. A ldquofamilyrdquo of hyperbola curves is shown to be a good fit to the contour curves. The parameters to the hyperbola equations are derived with the help of inserted calibration transistors. Simulation experiments are used to demonstrate the prediction accuracy of the method on a PPG.

I DDQ  -  I DDT  - quiescent signal analysis - test - power grids


Contact InformationChintan Patel
Email: cpatel2@cs.umbc.edu

Contact InformationErnesto Staroswiecki
Email: estaro1@umbc.edu

Contact InformationSmita Pawar
Email: psmita1@cs.umbc.edu

Contact InformationDhruva Acharyya
Email: adhruva1@cs.umbc.edu

Contact InformationJim Plusquellic
Email: plusquel@cs.umbc.edu
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