Intelligent health prediction method and system for aircraft

An intelligent health prediction method and system of an aircraft are used for real-time control health prediction of the aircraft and are real-time online health prediction algorithms. The intelligent health prediction method changes the health disposal scheme of the traditional aircraft after-even...

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Hauptverfasser:	GAO XIAOYING, ZHOU HUA, ZHANG MENG, GAO ZIXI, LI BIN, KANG XUBING, YANG ZHE, WEN YA, ZHAO XIONGBO, WANG JING, ZHANG XING, SONG PENGFEI, YANG CHENG, GUO CHENG, CHEN CHUANG, WEI MINFENG, WU QIANG, ZHONG XUEJIE, FENG LI, CHENG RUI, CAI YANBIN, TIAN CHANGZHENG, WANG SHIHUI, ZHANG YING, NIE ZHENBIN, WANG DONG, LI XIAOMIN, DOU ZHIHONG, GUO BOTAO, WANG DAQING, ZHANG FUXIN, YE CHAO, CAO JIAN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	An intelligent health prediction method and system of an aircraft are used for real-time control health prediction of the aircraft and are real-time online health prediction algorithms. The intelligent health prediction method changes the health disposal scheme of the traditional aircraft after-event remedy, and outputs the health prediction value of the aircraft in real time. The intelligent health prediction system comprises five models: an aircraft data simulation model, a data set positive sample training prediction model based on RNN and LSTM, a prediction model based on a grey model, a combined prediction model and a health degree calculation model. 一种飞行器的智能健康预测方法及系统，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。包括五个模型：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、健康度计算模型。