1. 北京航空航天大学 可靠性与系统工程学院,北京,100191
2. 中国北方车辆研究所 机构,北京,100072
纸质出版:2020
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刘基强, 张改丽, 黄姣英, 刘荣昌, 张明杰. 基于改进FMECA与故障传播模型结合的中子单粒子故障源定位分析[J]. 微电子学与计算机, 2020, 37(8): 32-36.
LIU Ji-qiang, ZHANG Gai-li, HUANG Jiao-ying, et al. Location analysis of neutron single particle fault source based on improved FMECA and fault propagation model[J]. 2020, 37(8): 32-36.
随着器件加工工艺技术的不断发展,器件单元尺寸逐渐缩小,工作电压不断下降,使得器件抵挡单粒子效应的能力也在不断降低.针对某无人机用机载数据采集计算机,分析在大气中子辐射下数据采集计算机的故障传播机理.结合改进的FMECA方法,基于原因故障、结果故障以及原因故障对结果故障的贡献率,建立了计算机的故障传播图,通过逐层推理求得各底层故障模式发生概率,进而提出一种可能高风险源定位方法,定位到系统级可能的高风险故障源为数采计算机上两块单机板的核心器件FPGA.
With the continuous development of components processing technology
the size of components unit is constantly reduced
and the working voltage is constantly reduced
so that the components ability to resist single event effect is constantly reduced. This paper analyzes the fault propagation mechanism of the airborne data acquisition computer for an unmanned aerial vehicle (uav) under atmospheric neutron radiation. Combined with the improved FMECA method
based on the cause failure
the result failure and the contribution rate of the cause failure to the result failure
the fault propagation diagram of the computer is established
and the probability of occurrence of each underlying failure mode is obtained through layer-by-layer reasoning. A possible high-risk source location method is proposed. The possible high-risk fault source located at the system level is the core device FPGA of two single-boards on the computer.
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