Research on Prediction Method of Armored Vehicle Fire Control System Based on BAS-RVM

摘要

Due to the particularity of armored vehicles, the failure information is very insufficient, and the prediction of its main core part, the fire control system, is more difficult. Based on the analysis of the fault characteristics of armored vehicle fire control system and the regression algorithm of correlation vector machine, a fault prediction method of fire control system is proposed. The prediction model was established by using the relevant vector machine optimized by the beetle search algorithm, and simulation tests were performed. The results show that BAS-RVM can effectively predict the failure of a gyroscope component in the fire control system of armored vehicles, which proves that rationality.