Dynamic SLAM diagnosis method for uncontrolled fault of aircraft electronic anti slip braking system

Abstract In order to accurately diagnose the out-of-control fault of an aircraft’s electronic anti-skid braking system, a dynamic SLAM diagnosis method for the out-of-control fault of an aircraft electronic anti-skid braking system is proposed. Using an optical module, image acquisition module, power module, main control module, etc., the dynamic drawing image of aircraft taxiing is acquired. By establishing a dynamic map of aircraft taxiing, the dynamic semantic mapping results are obtained. The out-of-control fault diagnosis model of the depth residual network is constructed, and the aircraft taxiing semantic data is used as input data to output the out-of-control fault diagnosis results. The experimental results show that with the increase of Gaussian white noise intensity, the deviation factor of out-of-control fault diagnosis in the design method increases less, and the sample label misjudges less in the noise-free environment.