以信息融合为基础,运用GRNN神经网络对航空发动机气路系统进行故障诊断,提出了一种基于一致性融合和神经网络相结合的故障诊断方法。试验结果表明,该方法能快速识别航空发动机气路系统故障,并且对其他机械设备的故障诊断具有一定的参考价值。 Based on information fusion, the fault diagnosis of aeroengine pneumatic system is carried out by using GRNN neural network, and a fault diagnosis method based on consistency fusion and neural network is proposed. The test results show that this method can quickly identify the fault of aeroengine gas system, and has some reference value for the fault diagnosis of other mechanical equipment.