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Correlation reliability assessment of artillery chassis transmission system based on CBN model

机译:基于CBN模型的炮底盘传输系统的相关性可靠性评估

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摘要

The traditional Bayesian Network (BN) has defects in the reliability assessment problem of multivariate correlation. In this paper, the Copula Bayesian Network (CBN) model is introduced into the artillery chassis transmission system for the first time to solve these problems. The model uses the Copula function to express the relationship between variables, and combines Bayesian Network probabilistic reasoning. On the basis of the traditional BN topology structure, the Copula function is introduced and transformed into CBN topology structure. The edge distribution of each node and the correlation coefficient matrix are used to construct the local connection function. It can realize the conversion of multi-variables into binary variables and construct high-dimensional functions. Bayesian network reasoning can get the failure probability of each node. Finally, the CBN model was used to assess the reliability of a certain type of artillery chassis transmission system for the first time. This method converts the multiple variables of the transmission system into a binary relationship, which is suitable for engineering applications and can express the correlation in the system. The computational result of this model is better than that of the traditional BN model.
机译:传统的贝叶斯网络(BN)在多变量相关性的可靠性评估问题中具有缺陷。在本文中,第一次将Copula Bayesian网络(CBN)模型引入火炮底盘传输系统中以解决这些问题。该模型使用Copula功能来表达变量之间的关系,并结合了贝叶斯网络概率推理。在传统的BN拓扑结构的基础上,将Copula功能引入并转化为CBN拓扑结构。每个节点和相关系数矩阵的边缘分布用于构造本地连接功能。它可以实现多变量转换为二进制变量并构建高维功能。贝叶斯网络推理可以获得每个节点的故障概率。最后,CBN模型用于评估一定类型的火炮底盘传输系统的可靠性。该方法将传输系统的多个变量转换为二进制关系,其适用于工程应用,并且可以表达系统中的相关性。该模型的计算结果优于传统BN模型的计算结果。

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