基于模糊神经网络的平显设备故障诊断研究

Fault diagnosis method for HUD based on fuzzy BP neural network

针对平视显示器(HUD)设备自检测和地面故障诊断设备的不足,提出了一种基于模糊BP神经网络的HUD故障诊断方法。简化了故障诊断系统的结构,实现了自动性能检测和故障诊断,能够有效地辨识故障源,隔离了从LRU级到SRU级的故障,并给出了典型测试项的故障诊断实例。作为一种先进有效的故障诊断技术已经应用于某型飞机HUD和相关系统的故障诊断。

For the insufficiency of the built-in-test-equipment （BITE） of HUD and the ground fault diagnosis equipment, this paper provided a novel fault diagnosis based on fuzzy BP neural network for a certain type HUD by researching the fault diagno- sis theory and methods. The proposed method simplified the structure of the fault diagnosis system, and had a farther effective distinguish from the source of fault diagnosed by built-in-test-equipment, and isolated the fault from the LRU level to the SRU level. Finally, provided the fault diagnosis example with the typical test item. Experiments show that the proposed method has better performance in fault diagnosis for HUD.