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.
基金
supported by the National Natural Science Foundation of China(61601495,61372039)。
作者简介
WANG Tao was born in 1992.He is a doctoral student in Army Engineering University.He received his M.S.degree in control science and engineering from Ordnance Engineering College in 2014.His research interests are fault detection method,self-repairing technology and reliability evaluation method for bio-inspired electronic system.E-mail:wangtao920110@126.com;Corresponding author:CAI Jinyan was born in 1961.She is a professor in Army Engineering University.She received her M.S.degree from Tsinghua University,and she was awarded her Ph.D.degree from Nanjing University of Science and Technology in 2010.Her research interests are weapon equipment detection and fault diagnosis,performance degradation analysis and fault prediction of electronic equipment,and bio-inspired self-repairing technology.E-mail:cjyrad@163.com;MENG Yafeng was born in 1970.He is an associate professor in Army Engineering University.He received his M.S.and Ph.D.degrees from Ordnance Engineering College in 2001 and 2004 respectively.His research interests are automatic testing technology and fault diagnosis of electronic equipment.E-mail:myfrad@163.com;ZHU Sai was born in 1987.He is a lecturer in Army Engineering University.He received his M.S.and Ph.D.degrees from Ordnance Engineering College in 2012 and 2016 respectively.His research interests are performance degradation analysis and fault prediction of electronic equipment,and bio-inspired self-repairing technology.E-mail:szhumail@163.com。
