概率神经网络在武器装备故障诊断中的应用

针对当前复杂武器系统在装备部队后出现的故障定位难题,采用概率神经网络进行装备的故障诊断.给出概率神经网络算法及故障诊断步骤,建立基于概率神经网络的故障诊断模型,以某新型武器装备为对象,将该模型应用于装备故障诊断,并使用Matlab进行仿真验证.仿真结果表明:概率神经网络能够有效识别出装备的各种典型故障,降低部队使用过程中故障排查难度,提高装备的维修保障能力.

Application of Probabilistic Neural Network in Fault Diagnosis of Weapon Equipment

To solve the problem of fault localization in complicated weapon equipment after delivering to army, the paper proposes to diagnose fault by probabilistic neural network. The training algorithm and fault diagnosis steps are put forward, and the fault diagnosis model based on probabilistic neural network is established. Taking a new type of weapon equipment as the research object, the model is applied to fault diagnosis, and use Matlab for simulation validation. The simulation results show that the probabilistic neural network can distinguish all kinds of classical fault effectively, decrease the difficulty of troubleshooting, and increase the repairing and supporting ability of the equipment.