Analysis of errors in estimating wearout characteristics of time-dependent dielectric breakdown using system-level accelerated life test

Abstract Reliability issues exacerbated by small feature sizes in modern VLSI circuits challenge an accurate reliability assessment using the conventional approach of employing device-level accelerated life test. Since such device-level reliability assessment ignores tolerance of a circuit or a system to device wearout failures, to accurately estimate circuit/system reliability, we need to directly test a circuit or a system for extraction of wearout parameters in operating environments. In this paper, we propose a system-level accelerated life test to compliment device-level accelerated life test. We also investigate errors in estimating wearout parameters from time-dependent dielectric breakdown (TDDB) from experimental results from system-level accelerated life test and note differences from device-level reliability assessment.

[1]  E. B. Wilson Probable Inference, the Law of Succession, and Statistical Inference , 1927 .

[2]  Linda Milor,et al.  Memory reliability estimation degraded by TDDB using circuit-level accelerated life test , 2017, 2017 IEEE International Reliability Physics Symposium (IRPS).

[3]  G. Groeseneken,et al.  Recent trends in reliability assessment of advanced CMOS technologies , 2005, Proceedings of the 2005 International Conference on Microelectronic Test Structures, 2005. ICMTS 2005..

[4]  Dae-Hyun Kim,et al.  A methodology for estimating memory lifetime using a system-level accelerated life test and error-correcting codes , 2017, 2017 IEEE 35th VLSI Test Symposium (VTS).

[5]  Gian Carlo Montanari,et al.  In search of convenient techniques for reducing bias in the estimation of Weibull parameters for uncensored tests , 1997 .

[6]  Chang-Chih Chen,et al.  Built-In Self-Test Methodology With Statistical Analysis for Electrical Diagnosis of Wearout in a Static Random Access Memory Array , 2016, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[7]  Barry P. Linder,et al.  Calculating the error in long term oxide reliability estimates , 2001, 2001 IEEE International Reliability Physics Symposium Proceedings. 39th Annual (Cat. No.00CH37167).

[8]  J. Jacquelin Inference of sampling on Weibull parameter estimation , 1996 .

[9]  Yung-Huei Lee,et al.  Prediction of Logic Product Failure Due To Thin-Gate Oxide Breakdown , 2006, 2006 IEEE International Reliability Physics Symposium Proceedings.