Construction of Safety-control System for Aircraft Based on Intelligent Decision Supporting
The decision supporting capability of aircraft test safety-control system can be enhanced by using new-generation artificial intelligence technologies,which can also meet the needs of increasing in ground safety-control quantity,rule numbers en-larging and higher timeliness of fault diagnosis.So they bring extensive application prospect.The architecture of ground aircraft safe-ty-control system aiming at intelligent decision supporting is designed based on the new requirements analysis,which adds the data and model management module.Then the decision supporting base is constructed which contains the fault diagnosis rules of aircraft itself,velocity,location and impact point prediction feature recognition.A new fault prediction method is proposed based on the co-operation of rule based and data-driven.The intelligent ground aircraft safety-control system can use the historical test data to train the deep neural network and also use the rule base to enhance the expert knowledge contribution for the model prediction accuracy,which can enhance the fault intelligent prediction ability and meet the intelligent assistant requirements of aircraft safety-control.