上海航天（中英文）2025，Vol.42Issue(2)：177-185,9.DOI:10.19328/j.cnki.2096-8655.2025.02.017
细长体飞行器模态频率快速预示与结构故障定位技术研究
Research on Rapid Modal Frequency Prediction and Structural Fault Localization for Slender Body Aircraft
摘要
Abstract
To address the needs for the rapid modal frequency prediction and structural fault localization for slender body aircraft,an efficient method combining engineering prior knowledge,artificial neural networks,and parameter identification is proposed.Based on the sample design,the one-dimensional mass-spring-stiffness beam model is used to calculate the low-order modal frequencies of the structural dynamics of a slender body aircraft.By leveraging the rapid mapping capability of neural networks,the global mass and stiffness of the aircraft are efficiently identified based on the modal frequencies achieved.In engineering practice,the nose cone mass anomalies are accurately located,and the quality error does not exceed 3.13%.关键词
结构动力学/细长体飞行器/神经网络/参数辨识/故障诊断Key words
structural dynamics/slender body aircraft/neural network/parameter identification/fault diagnosis引用本文复制引用
沈奕哲,贾骏恺,史晓鸣,李昱霖,华洲..细长体飞行器模态频率快速预示与结构故障定位技术研究[J].上海航天（中英文）,2025,42(2):177-185,9.基金项目
国防科工局国防基础科研资助项目(JCKY2023203A003) （JCKY2023203A003）
上海市东方英才计划资助项目(QNZH2024069) （QNZH2024069）
