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Fault diagnosis algorithm of Electrical system based on Deep Learning

In this paper, artificial neural network technology and improved BP network training algorithm based on momentum factor technology are applied to aircraft electrical equipment fault diagnosis. Taking the aircraft AC asynchronous motor as an example, a fault diagnosis model is established. The simulation results show that the application of the algorithm is feasible and has a strong popularization prospect.