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Genetic algorithm as self-test path and circular self-test path design method

机译:遗传算法作为自检路径和循环自检路径的设计方法

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The paper presents the use of Genetic Algorithm to search for non-linear Autonomous Test Structures (ATS) in Built-In Testing approach. Such structures can include essentially STP and CSTP and their modifications. Non-linear structures are more difficult to analyze than the widely used structures such as independent Test Pattern Generator and the Test Response Compactor realized by Linear Feedback Shift Registers. To reduce time-consuming test simulation of sequential circuit, it was used an approach based on the stochastic model of pseudo-random testing. The use of stochastic model significantly affects the time effectiveness of the search for evolutionary autonomous structures. In test simulation procedure, the block of sequential circuit memory is not disconnected. This approach does not require a special selection of memory registers such as BILBOs. A series of studies to test circuits set ISCAS’89 are made. The results of the study are very promising.
机译:本文介绍了使用遗传算法在内置测试方法中搜索非线性自治测试结构(ATS)的方法。这样的结构可以实质上包括STP和CSTP及其修改。非线性结构比广泛使用的结构(例如独立的测试模式生成器和通过线性反馈移位寄存器实现的测试响应压缩器)更难分析。为了减少时序电路的耗时测试仿真,它采用了一种基于伪随机测试随机模型的方法。随机模型的使用极大地影响了寻找进化自治结构的时间有效性。在测试仿真过程中,顺序电路存储器的块未断开。这种方法不需要对存储寄存器(例如BILBO)进行特殊选择。进行了一系列研究以测试ISCAS’89的电路。研究结果非常有希望。

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