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Structural Reduction Techniques for Logic-Chain Bridging Fault Diagnosis

机译:逻辑链桥接故障诊断的结构化简化技术

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This paper proposes four logic-chain bridging fault models, which involve one net in the combinational logic and the other net in the scan chain. Test results of logic-chain bridging faults, unlike existing scan chain fault models, depend on the previous scan inputs as well as primary inputs. A bridging pair extraction algorithm is proposed to quickly extract bridging pairs from the layout. The paper proposed two sets of structural reduction techniques so that runtime is very short. Experimental results on ISCAS benchmark circuits show that, on the average, logic-chain bridging faults can be diagnosed within an accuracy of four bridging pairs. The techniques are still applicable when there are only 10 failing patterns due to limited ATE failure memory. This paper demonstrates the feasibility to diagnose logic-chain bridging faults by software.
机译:本文提出了四个逻辑链桥接故障模型,它们在组合逻辑中涉及一个网络,而在扫描链中涉及另一个网络。与现有的扫描链故障模型不同,逻辑链桥接故障的测试结果取决于先前的扫描输入以及主要输入。提出了一种桥接对提取算法,用于从布局中快速提取桥接对。本文提出了两组结构简化技术,因此运行时间非常短。在ISCAS基准电路上的实验结果表明,平均而言,可以在四对桥接的精度内诊断逻辑链桥接故障。当由于ATE故障存储器有限而仅有10种故障模式时,这些技术仍然适用。本文演示了通过软件诊断逻辑链桥接故障的可行性。

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