基于数据驱动建模和非线性输出频响函数的航天器设备结构损伤检测

Changshuai Yu, Yung‐Peng Zhu, Haitao Luo, Zhong Luo
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引用次数: 1

摘要

在振动试验中需要对航天器设备进行损伤检测,以避免昂贵的航天器设备损伤恶化。目前的方法是比较固有频率的变化,这可能是失效,因为线性特征通常对某些损伤不敏感。本研究的目的是开发一种新的航天器设备结构损伤检测方法,以解决现有方法存在的问题。为实现这一目标,采用正则化前向回归正交最小二乘(FROLS)算法对航天器设备的非线性自回归(NARX)模型进行识别。然后,利用谐波输入下的非线性输出频响函数(NOFRF)理论,得到了非线性输出频响函数,可用于航天器设备在振动试验中的损伤检测。最后,通过对悬臂板结构进行损伤检测的实验研究,验证了该方法在工程中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural Damage Detection of Spacecraft Equipment Based on Data Driven Modelling and Nonlinear Output Frequency Response Function
Damage detection of the spacecraft equipment is required in vibration test to avoid the costly spacecraft equipment worsening of damage. The current method is to compare the change of the natural frequencies, which may be failure because linear feature is usually not sensitive to some damage. The objective of this study is to develop a novel structural damage detection method of spacecraft equipment to address the current method problem. To achieve this goal, use regularization FROLS (Forward Regression Orthogonal Least Squares) algorithm to identify the NARX (Nonlinear Autoregressive with Exogenous Input) model of the spacecraft equipment. After that, use the theory of NOFRF (Nonlinear Output Frequency Response Function) under harmonic input to obtain the NOFRFs, which can be used to detect the damage of spacecraft equipment in vibration test. Finally, an experimental study is carried out to conduct damage detection for a cantilever plate structure to demonstrate the effectiveness of the proposed method in engineering.
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