Cell-aware experiences in a high-quality automotive test suite

F. Hapke, R. Arnold, Matthias Beck, M. Baby, S. Straehle, J. Gonçalves, A. Panait, R. Behr, Gwenolé Maugard, A. Prashanthi, J. Schlöffel, W. Redemund, Andreas Glowatz, A. Fast, J. Rajski
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引用次数: 19

Abstract

High quality is an absolute necessity for automotive designs. This paper describes an approach to improve the overall defect coverage for CMOS-based high quality automotive designs. We present results from a cell-aware (CA) characterization flow for 216 cells, the pattern generation flow for a 130nm smart power design, and high-volume production test results achieved after testing multimillion parts. The idea behind CA tests is to detect cell-internal (CI) bridges, opens, leaking and high resistive transistor defects which are undetected with state-of-the-art tests. The production test results have shown that the CA tests detect various failing parts during a first wafer sort test which still resulted into unique failing parts after a second wafer sort test done at a different temperature and with additional tests. The obtained results encouraged us to continue this work beyond this paper to run further experiments with the final goal to eliminate the stuck-at (SA) and transition delay (TR) test by simultaneously improving the quality with CA tests which are a superset of SA and TR tests.
高质量汽车测试套件中的细胞感知体验
高质量是汽车设计的绝对必要条件。本文介绍了一种提高基于cmos的高质量汽车设计总体缺陷覆盖率的方法。我们展示了216个电池的细胞感知(CA)表征流程的结果,130nm智能电源设计的模式生成流程的结果,以及在测试了数百万个部件后获得的大批量生产测试结果。CA测试背后的想法是检测电池内部(CI)桥、打开、泄漏和高阻晶体管缺陷,这些缺陷是最先进的测试无法检测到的。生产测试结果表明,CA测试在第一次晶圆分选测试中检测到各种故障部件,在第二次晶圆分选测试在不同温度和附加测试下进行后,仍然会导致独特的故障部件。获得的结果鼓励我们在本文之外继续这项工作,进行进一步的实验,最终目标是通过同时提高CA测试(SA和TR测试的超集)的质量来消除卡滞(SA)和转换延迟(TR)测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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