A Novel Data Analysis Methodology in Failure Analysis

Miao Wu, W. Wang, Li Tian, Chunlei Wu, Diwei Fan
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引用次数: 7

Abstract

In Semiconductor IC failure analysis, failure localization is the most important step. However, as semiconductor circuits get more complex and devices trend to smaller dimension, failure localization becomes very difficult if failure is not caused during customer application, but by fab process. In this case, data analysis is recommended as a powerful addition to traditional failure analysis or yield analysis methods. This paper introduced a methodology of data analysis, which can build up correlation with distinctive view between several fields of data, such as electric analysis data, wafer process data. By this methodology, fail device related with fab process can be quickly localized. A real case of this methodology is presented.
失效分析中一种新的数据分析方法
在半导体集成电路的失效分析中,失效定位是最重要的一步。然而,随着半导体电路的复杂化和器件的小型化趋势,如果故障不是在客户应用过程中引起的,而是由晶圆厂工艺引起的,则故障定位变得非常困难。在这种情况下,建议将数据分析作为传统失效分析或良率分析方法的强大补充。本文介绍了一种数据分析方法,该方法可以在电气分析数据、晶圆工艺数据等多个领域的数据之间以独特的视角建立关联。利用该方法,可以快速定位与晶圆制造工艺相关的故障器件。给出了该方法的一个实际案例。
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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