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Influence of Body-Biasing, Supply Voltage, and Temperature on the Detection of Resistive Short Defects in FDSOI Technology

机译:偏置,电源电压和温度对FDSOI技术中电阻短路缺陷检测的影响

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摘要

This paper presents an in-depth analysis of the impact of body-biasing, supply voltage, and temperature on the detection of resistive short defects in FDSOI technology. Three types of short defects are considered for our investigation, namely resistive short to ground terminal, resistive short to power supply terminal (VDD), and intergate resistive bridging defect. The two implementation options offered by the technology, i.e., low VT (LVT) and regular VT (RVT) devices are also studied. Defect detectability is evaluated in the context of logic test using the concept of critical resistance. The optimal body-biasing, supply voltage, and temperature settings to achieve the maximum defect coverage are determined through HSPICE simulations using a didactic circuit implemented with 28-nm UTBB FDSOI gate library. An analytical analysis is also proposed based on the on-resistance model of P and N networks, which permits to evaluate the value of the critical resistance without performing fault simulations. In addition, this paper quantifies the individual as well as the combined improvements in detection brought by body-biasing, supply voltage, and temperature settings for the different defect types and different implementations.
机译:本文对FDSOI技术中体偏置,电源电压和温度对电阻性短路缺陷的检测影响进行了深入分析。对于我们的研究,考虑了三种类型的短路缺陷,即接地短路电阻,电源短路电阻(VDD)和栅极间电阻桥接缺陷。还研究了该技术提供的两个实现选项,即低VT(LVT)和常规VT(RVT)设备。使用临界电阻的概念在逻辑测试的上下文中评估缺陷的可检测性。通过使用28nm UTBB FDSOI门库实现的教学电路,通过HSPICE仿真,可以确定达到最大缺陷覆盖率的最佳偏置,电源电压和温度设置。还基于P和N网络的导通电阻模型提出了一种分析分析方法,该模型可以在不执行故障仿真的情况下评估临界电阻的值。此外,本文还针对不同的缺陷类型和不同的实现方式,对个体以及身体偏见,电源电压和温度设置所带来的检测方面的综合改进进行了量化。

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