基于随机抽样技术的原理图级模拟故障仿真自动化

Liang Wu, Mohammad Khizer Hussain, Saed Abughannam, W. Müller, C. Scheytt, W. Ecker
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引用次数: 2

摘要

通过故障注入和基于先进采样技术的仿真,提出了一种基于随机故障选择的高故障覆盖率的模拟故障效果仿真自动化方法。随机故障选择利用电路中不同电气元件故障发生的可能性,并具有一定的置信度。分析了不同器件的缺陷模型,计算了故障概率。实例研究表明,该工具提供了一种有效的故障效果仿真自动化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analog fault simulation automation at schematic level with random sampling techniques
This paper presents an approach for analog fault effect simulation automation based on random fault selection with a high fault coverage of the circuit under test by means of fault injection and simulation based on advanced sampling techniques. The random fault selection utilizes the likelihood of the fault occurrence of different electrical components in the circuit with a confidence level. Defect models of different devices are analyzed for the calculation of the fault probability. A case study with our implemented tool demonstrates that likelihood calculation and fault simulation provides means for efficient fault effect simulation automation.
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