Diagnosis Using Quiescent Signal Analysis on a Commercial Power Grid

Author(s):  
Chintan Patel ◽  
Ernesto Staroswiecki ◽  
Smita Pawar ◽  
Dhruva Acharyya ◽  
Jim Plusquellic

Abstract Quiescent Signal Analysis (QSA) is a novel electrical-test-based diagnostic technique that uses IDDQ 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 IDDQ contour plots. A “family” 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.

Author(s):  
Jim Plusquellic ◽  
Dhruva Acharyya ◽  
Mohammad Tehranipoor ◽  
Chintan Patel

Abstract Quiescent Signal Analysis (QSA) is an IDDQ method for detecting defects that is based on the analysis of multiple simultaneous measurements of supply port IDDQs. The nature of the information in the multiple IDDQs measurements also allows for the localization of the defect to physical coordinates in the chip. In previous work, we derived a hyperbola-based method from simulation experiments that is able to "triangulate" the position of the defect in the layout. In this paper, we evaluate the accuracy of this method using data collected from 12 chips fabricated in a 65 nm process.


2015 ◽  
Vol 738-739 ◽  
pp. 382-390
Author(s):  
Hao Wu ◽  
Qun Zhan Li ◽  
Wei Liu

With the help of wide area information, a new fault identification algorithm of power grid based on PNN is proposed. This algorithm gives a definition of the line associated domain, the elements’ action information of the line associated domain gathered by line IEDs can form the feature vector into PNN classifier, and then the fault elements of power grid would be identified on PNN classifier. Through a large number of simulation experiments, it shows that the new fault identification algorithm of power grid based on PNN and wide area information has high accuracy and good fault tolerance.


2005 ◽  
Vol 21 (5) ◽  
pp. 463-483
Author(s):  
Chintan Patel ◽  
Abhishek Singh ◽  
Jim Plusquellic

2008 ◽  
Vol 55-57 ◽  
pp. 765-768
Author(s):  
W. Pengchan ◽  
T. Phetchakul ◽  
Amporn Poyai

The total leakage current in silicon p-n junction diodes compatible with 0.8 µm CMOS technology is investigated. The generation lifetime is a key parameter for the leakage current, which can be obtained from the current-voltage (I-V) and the capacitance-voltage (C-V) characteristics. As will be shown, the electrically active defect from ion implantation process generated in p-n junction can be extracted from the generation current density.


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