24th IEEE VLSI Test Symposium X-IDDQ: A Novel Defect Detection Technique Using IDDQ Data Berkeley, California April 30-May 04 ISBN: 0-7695-2514-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/VTS.2006.90
A statistical technique X-IDDQ for extracting defect information from IDDQ data is presented that is effective for detection of defects in ICs. The technique treats the IDDQ measurements in a holistic manner to come up with a statistic X that is highly correlated to the presence of defects. X-IDDQ facilitates binning of ICs and enhances the test process by early identification of faults. The transformation metrics, for evaluating X statistic from IDDQ measurements, obtained using one batch works extremely well for different batches, facilitating its use with manufacturing-line testing.
Index Terms:
Binning, IDDQ, Defect Correlation, Test Optimization, Principal Component Analysis.
Citation:
Ashutosh Sharma, Anura P. Jayasumana, Yashwant K. Malaiya, "X-IDDQ: A Novel Defect Detection Technique Using IDDQ Data," vts, pp.180-185, 24th IEEE VLSI Test Symposium, 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||