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

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.

Automated summary

The CBN model utilizes Copula function to express relationships between variables, transforming them into binary variables to construct high-dimensional functions and facilitate reliability assessment. It outperforms traditional BN models in computational results.