黄斌科, 邓亮, 赵秀才, 侯明星. 基于失败向量信息的难测固定故障测试向量生成[J]. 微电子学与计算机, 2017, 34(4): 140-145.
引用本文: 黄斌科, 邓亮, 赵秀才, 侯明星. 基于失败向量信息的难测固定故障测试向量生成[J]. 微电子学与计算机, 2017, 34(4): 140-145.
HUANG Bin-ke, DENG Liang, ZHAO Xiu-cai, HOU Ming-xing. Test Vector Generation Method of Hard to Detect Stuck-at Faults Based on Failed Vectors Information[J]. Microelectronics & Computer, 2017, 34(4): 140-145.
Citation: HUANG Bin-ke, DENG Liang, ZHAO Xiu-cai, HOU Ming-xing. Test Vector Generation Method of Hard to Detect Stuck-at Faults Based on Failed Vectors Information[J]. Microelectronics & Computer, 2017, 34(4): 140-145.

基于失败向量信息的难测固定故障测试向量生成

Test Vector Generation Method of Hard to Detect Stuck-at Faults Based on Failed Vectors Information

  • 摘要: 针对数字电路中难测固定故障测试向量生成效率低的问题, 基于失败向量信息实现难测固定故障的测试向量生成.该方法利用难测固定故障失败向量与成功向量在端口逻辑值上可能具有的相反属性, 以输入端口逻辑值的概率信息量化失败向量的特征, 从而提高难测固定故障成功测试向量生成的生成概率, 缩小测试向量的搜索范围, 提高了测试向量生成的效率.

     

    Abstract: A test vector generation algorithm based on failed vectors information is proposed to solve the low generation efficiency problem for finding hard to detect stuck-at faults in digital circuits. Utilizing the non-correlation properties between the failed and successful test vectors in each port of the primary input, the method increases the generation probability of successful test vectors gradually for hard to detect struck-at fault through the probability information of logical values at primary input of previous failed vectors. By moving away from the test vectors similar in properties to these failed test vectors, the test vector space is vastly reduced.

     

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