航空学报2025，Vol.46Issue(19)：96-105,10.DOI:10.7527/S1000-6893.2024.31292
基于飞行参数的结构关键部位载荷孪生技术
Twinning technology of key part load based on flight parameters
摘要
Abstract
To effectively monitor the health of the aircraft,a twinning technology for load of key parts of the structure is proposed based on flying parameters in view of the complex load conditions during the service of the aircraft.Firstly,fiber optic sensor data optimization governance is completed using the methods such as adjacent value filling,one-/multi-dimensional data anomaly detection,wavelet packet decomposition and Bayesian threshold denoising.Sec-ondly,based on the data mining method and linear regression method,methods are developed to extract the strain feature and related parameter of the key parts of the structure.Finally,the XGBoost model is used to train the map-ping relationship between the relevant flight parameters and features and the strain of key parts,and a high precision twin mapping model of the flight parameters and strain is constructed.Using the flight parameters and sensor data as the original input,the high precision twin mapping model has an average prediction accuracy of above 95%,and can effectively and accurately monitor the healthy state of aircraft structure.关键词
数字孪生/飞行参数/结构强度/映射模型/健康监控Key words
digital twin/flight data/structural strength/mapping model/health monitoring分类
航空航天引用本文复制引用
陈亮,黄蕾,顾宇轩,郭聪,林可欣,管宇,宋健..基于飞行参数的结构关键部位载荷孪生技术[J].航空学报,2025,46(19):96-105,10.基金项目
国防基础科研计划(JCKY2021205B003) National Defense Basic Scientific Research Program(JCKY2021205B003) （JCKY2021205B003）
