Automatic Monitoring Method for Aircraft Power Supply Health Status Based on Recurrent Neural Network
Due to the numerous factors that affect the health status of aircraft power supplies and their varying degrees of impact,there are often deviations in the monitoring results of aircraft power supply health status.Therefore,an automatic monitoring method for aircraft power supply health status based on recurrent neural networks is proposed.Considering that faults are the main factor causing fluctuations in the health status of aircraft power supplies,a fault tree was constructed with the aircraft power supply status as the core,including main power supply failure faults,backup power supply failure faults,and distribution system faults.In the stage of monitoring the health status of aircraft power supply,a recurrent neural network is introduced to calculate the weight of the impact of fault tree bottom events on the health status of aircraft power supply,and comprehensively evaluate the degree of impact of all existing faults to determine the final health status.In the test results,the design method demonstrated significant superiority in monitoring the health status of aircraft power supplies,enabling accurate monitoring of the health status of aircraft power supplies.
recurrent neural networkhealth status of aircraft power supplyautomatic monitoringfault treeinfluence weight
万方数据
维普
