关键词: 神经网络, 蒙特卡罗法, 系统可靠性, 共因失效, 不确定性

Abstract: Because of rarity of common cause failure events on a plant-and system-specific basis, some models are difficult to be applied. To solve the difficulty which is general in the common cause failure analysis, a mapping method based on neural network is presented, which is used for common cause failures data analysis. It can translate generic experience event data for plant-specific applications and map the failure data between the systems with different sizes, so it makes up the rarity of common cause failures data and reduce the uncertainties. It can provide reliable data for reliability analysis. At last this article provides an example to illustrate the application.