Due to the limitations of the existing fault detection methods in the embryonic cellular array (ECA), the fault detection coverage cannot reach 100%. In order to evaluate the reliability of the ECA more accurately, embryonic cell and its input and output (I/O) resources are considered as a whole, named functional unit (FU). The FU fault detection coverage parameter is introduced to ECA reliability analysis, and a new ECA reliability evaluation method based on the Markov status graph model is proposed. Simulation experiment results indicate that the proposed ECA reliability evaluation method can evaluate the ECA reliability more effectively and accurately. Based on the proposed reliability evaluation method, the influence of parameters change on the ECA reliability is studied, and simulation experiment results show that ECA reliability can be improved by increasing the FU fault detection coverage and reducing the FU failure rate. In addition, by increasing the scale of the ECA, the reliability increases to the maximum first, and then it will decrease continuously. ECA reliability variation rules can not only provide theoretical guidance for the ECA optimization design, but also point out the direction for further research.

中文翻译：

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基于马尔可夫状态图模型的胚胎细胞阵列可靠性评估方法

由于胚胎细胞阵列（ECA）中现有故障检测方法的局限性，故障检测覆盖率不能达到100%。为了更准确地评估ECA的可靠性，胚胎细胞及其输入输出（I/O）资源被视为一个整体，命名为功能单元（FU）。将FU故障检测覆盖参数引入ECA可靠性分析，提出了一种基于Markov状态图模型的ECA可靠性评估新方法。仿真实验结果表明，所提出的ECA可靠性评估方法能够更有效、更准确地评估ECA可靠性。基于提出的可靠性评价方法，研究了参数变化对ECA可靠性的影响，仿真实验结果表明，通过增加FU故障检测覆盖率和降低FU故障率可以提高ECA可靠性。此外，通过增加ECA的规模，可靠性先增加到最大值，然后不断下降。ECA可靠性变化规律不仅可以为ECA优化设计提供理论指导，也为进一步研究指明方向。