装备的技术状态受多种因素的影响,诸多影响因素之间是一种多变量、强耦合、非线性的关系,同时这种关系还是动态的。根据装备技术状态的特性,使其在相空间里重构,然后利用动态神经网络建立装备技术状态预测模型,并以装备振动信号预测为例进行案例研究,验证了利用动态神经网络进行预测的可行性和优越性。 The technical status of the equipment is influenced by many factors. Many influencing factors are a kind of multivariable, strong coupling and non-linear relationship, and the relationship is dynamic at the same time. According to the characteristics of equipment state, it is reconstructed in phase space. Then, the prediction model of equipment technology status is established by using dynamic neural network, and the case study is carried out based on equipment vibration signal prediction. The feasibility of using dynamic neural network to predict is verified Sex and superiority.