分析了导弹武器系统可用度模型的分类和建模过程中遇到的关键技术,利用随机过程理论和离散事件仿真方法,从不同角度,建立了用于可用度评估的马尔科夫模型、更新过程模型、离散事件仿真模型和人工神经网络模型。通过对模型的分析,确定各自的适用范围,并从评估精度和评估效率两方面进行比较,结论表明,基于更新过程和离散事件仿真的方法适合于导弹武器系统可用度建模。该方法为导弹武器系统可用度评估提供了新的思路。 This paper analyzes the classification of missile weapon system availability model and the key technologies encountered in the process of modeling. By using stochastic process theory and discrete event simulation method, the Markov model for assessing availability is established from different perspectives, and the updating process Model, discrete event simulation model and artificial neural network model. Through the analysis of the model to determine their respective scope of application, and from the assessment of the accuracy and efficiency of the two aspects of comparison, the conclusion shows that the update process and discrete event simulation method is suitable for missile weapon system availability modeling. This method provides a new idea for evaluating the usability of missile weapon system.