CAJ | 학술논문

为综合预测装甲车辆发动机使用寿命，应用相关性分析优化发动机使用影响因素指标体系，定义发动机使用条件修正系数，对发动机使用状态样本数据进行分析与处理，构建 BP 神经网络评价模型，并利用获得的样本数据对网络进行训练和检验。结果表明：该方法能定量评价装甲车辆发动机使用状态，为预测装甲车辆发动机使用寿命提供一种新方法。
위종합예측장갑차량발동궤사용수명，응용상관성분석우화발동궤사용영향인소지표체계，정의발동궤사용조건수정계수，대발동궤사용상태양본수거진행분석여처리，구건 BP 신경망락평개모형，병이용획득적양본수거대망락진행훈련화검험。결과표명：해방법능정량평개장갑차량발동궤사용상태，위예측장갑차량발동궤사용수명제공일충신방법。
In order to forecast the service life of the armored vehicle engine synthetically, the index system of the armored vehicle engine using influence factors was established and optimized by means of the relativity analysis method, define engine service condition correction coefficient, analyzed and processed engine service state sample data, established BP neural network evaluation model, and use acquired sample data to train and test network. The results show that the method can carry out quantization evaluation armored vehicle engine service state and provide a new method for forecasting the armored vehicle engine service life.