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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
Ashutosh Sharma, Colorado State University
Anura P. Jayasumana, Colorado State University
Yashwant K. Malaiya, Colorado State University
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
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