Built-in self-diagnostic by space-time compression of test responses

M. Karpovsky, S. M. Chaudhry
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引用次数: 3

Abstract

Presents two different methodologies for built-in self-diagnostic of boards and systems by space-time compression of test responses. The first method, soft decision, uses nonbinary multiple error-correcting codes to obtain space-time signatures. These obtained signatures and the corresponding precomputed references are compared and magnitudes of distortions in signatures are analyzed to identify faulty components. The second method, hard decision, makes use of the information indicating whether the corresponding signatures are distorted or not. Both approaches show considerable savings in hardware overheads when compared with a straightforward approach where a separate signature is required for every component. A transition from the soft to hard decision approach results in an increase in the number of signatures required for diagnostic but at the same time it results in a decrease in the complexity of a fault locating algorithm. Results pertaining to VLSI implementations are presented where the hardware overhead is estimated in terms of two-input equivalent gates.<>
内置自诊断的时空压缩测试响应
提出了两种不同的基于测试响应时空压缩的板和系统内置自诊断方法。第一种方法是软判决,它使用非二进制多重纠错码来获取空时签名。将得到的特征值与相应的预计算参考值进行比较,并分析特征值的畸变程度,以识别故障部件。第二种方法是硬决策,它利用表明相应签名是否扭曲的信息。与每个组件都需要单独签名的直接方法相比,这两种方法都可以节省大量硬件开销。从软决策方法到硬决策方法的过渡导致诊断所需的签名数量增加,但同时导致故障定位算法的复杂性降低。有关VLSI实现的结果被提出,其中硬件开销是根据双输入等效门估计的。
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