Fault diagnosis method for HUD based on fuzzy BP neural network
基于模糊神经网络的平显设备故障诊断研究*

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 diagnosis 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.