A reliability evaluation method for embryonic cellular array based on Markov status graph model  

作　　者：WANG Tao CAI Jinyan MENG Yafeng ZHU Sai 

机构地区：[1]Department of Electronic and Optical Engineering,Army Engineering University,Shijiazhuang 050003,China

出　　处：《Journal of Systems Engineering and Electronics》2020年第2期432-446,共15页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61601495,61372039)。

摘　　要：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.

关 键 词：EMBRYONIC MARKOV STATUS graph model RELIABILITY FAULT detection evaluation 

分 类 号：Q25[生物学—细胞生物学] O213.2[理学—概率论与数理统计]