摘要
提出了一种飞行器健康状态的智能预测方法,用于飞行器实时控制健康预测,是一种实时在线健康预测算法。该方法改变了传统飞行器事后补救的健康处置方案,采用实时输出飞行器的健康预测值。包括5个模型:飞行器数据模拟模型、基于RNN和LSTM的数据集正样本训练预测模型、基于灰色模型的预测模型、组合预测模型,以及健康度计算模型。
An intelligent prediction method for aircraft health are presented,which are used for aircraft real-time control for the purpose of online health prediction.The traditional health disposal scheme of the aircraft is taken by a second thought and the predicted health value output of aircraft is changed due to generation on real-time in this mehtod that includes five models:aircraft data simulation model,positive sample training prediction model based on RNN and LSTM,prediction model based on gray model,combined prediction model and health calculation model.
作者
张英
韦闽峰
高晓颖
王世会
曹健
张兴
Zhang Ying;Wei Minfeng;Gao Xiaoying;Wang Shihui;Cao Jian;Zhang Xing(School of Software&Microelectronics,Peking University,Beijing 100871,China;Beijing Aerospace Automatic Control Institute,Beijing 100854,China;National Key Laboratory of Science and Technology on Aerospace Intelligent Control,Beijing 100854,China;School of Automation,Beijing Institute of Technology,Beijing 100081,China)
出处
《航天控制》
CSCD
北大核心
2019年第6期24-28,65,共6页
Aerospace Control
关键词
AI
神经网络
健康预测
飞行器
AI
Neural network
Health prediction
Aircraft