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Make Use of Rbd to Distinguish Different Failure Modes

机译:利用Rbd区分不同的故障模式

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Gate oxide integrity (GOI) plays an important role in device reliability especially for modern products where high speed and memory capacities are in demand. There are many test methods (e.g. Qbd, Vbd, and TDDB) to ensure gate oxide reliability. After the tests, we usually analyze data by a Weibull or lognormal plot to identify failure mechanisms and to ensure the failures are within the acceptable range. However, in recent years, more and more S-shaped curves are observed especially from a Weibull plot. The S-shaped curve in the Weibull plot may be derived due to more than one failure mode. It is crucial in practice to estimate the lifetime, the percentage, and the failure behavior (i.e., to see if we are dealing with a DFR, Decreasing Failure Rate, or an IFR, Increasing Failure Rate, failure) of Mode A and B, the early and random failures, respectively. In this paper, a methodology to distinguish different failure modes is introduced using the post-breakdown resistance, Rbd, and the extreme-value distributions. The Rbd (in Ω) used in this analysis is defined as 0.5V/Ibd where Ibd is the gate current measured under Vg = 0.5V after oxide breakdown. By doing so, the percentage of each group can be estimated and failure analysis on samples from different groups can be expedited as the samples with low Rbd are hard breakdowns (the normal failures) and the ones with high Rbd are defect-related (soft breakdowns). By the curve fitting using Weibull and the extreme-value distributions, simple models are proposed for lifetime estimation.
机译:栅极氧化层完整性(GOI)在设备可靠性中起着重要作用,尤其是对于需要高速和存储容量的现代产品而言。有许多测试方法(例如Qbd,Vbd和TDDB)可确保栅极氧化物的可靠性。在测试之后,我们通常通过Weibull或对数正态图分析数据,以识别故障机制并确保故障在可接受的范围内。然而,近年来,尤其是从威布尔图观察到越来越多的S形曲线。威布尔图中的S形曲线可能是由于一种以上的失效模式而得出的。在实践中,至关重要的是估算模式A和模式B的寿命,百分比和故障行为(即查看是否正在处理DFR,降低故障率或IFR,增加故障率,故障),早期故障和随机故障。在本文中,介绍了使用击穿后电阻Rbd和极值分布来区分不同故障模式的方法。该分析中使用的Rbd(以Ω为单位)定义为0.5V / Ibd,其中Ibd是氧化物击穿后在Vg = 0.5V下测得的栅极电流。这样,可以估算出每组的百分比,并且可以加快对不同组样本的故障分析,因为Rbd低的样本是硬故障(正常故障),而Rbd高的样本与缺陷相关(软故障) )。通过使用Weibull和极值分布进行曲线拟合,提出了用于寿命估计的简单模型。

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