Research on BIT False Alarm Suppression Technology of Airborne Power System Based on Genetic BP Neural Network

Aiming at the fact that the existing fault diagnosis methods cannot effectively suppress the false alarm of the airborne power system BIT, a method of reducing the false alarm of the multi-electric aircraft power system based on genetic BP neural network technology is proposed. First, analyze the failure mode of the multi-electric aircraft power system. Based on the introduction of the BP neural network technology optimized by the genetic algorithm, combined with the characteristics of the airborne power system BIT, a certain type of multi-electric aircraft power system is selected as the research object. There are 13 typical fault features and 10 typical faults. Finally, Matlab is used for simulation. Experimental results show that this method can accurately locate faults, effectively suppress BIT false alarms, and improve the fault diagnosis capability of the airborne power supply system.