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一种用于飞机结构损伤成像的局部 TR-MUSIC 算法。

A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures.

机构信息

College of Aerospace Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China.

COMAC Shanghai Aircraft Design & Research Institute, Shanghai 201210, China.

出版信息

Sensors (Basel). 2021 May 11;21(10):3334. doi: 10.3390/s21103334.

DOI:10.3390/s21103334
PMID:34064934
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8151697/
Abstract

Lamb wave-based damage imaging is a promising technique for aircraft structural health monitoring, as enhancing the resolution of damage detection is a persistent challenge. In this paper, a damage imaging technique based on the Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) algorithm is developed to detect damage in plate-type structures. In the TR-MUSIC algorithm, a transfer matrix is first established by exciting and sensing signals. A TR operator is constructed for eigenvalue decomposition to divide the data space into signal and noise subspaces. The structural space spectrum of the algorithm is calculated based on the orthogonality of the two subspaces. A local TR-MUSIC algorithm is proposed to enhance the image quality of multiple damages by using a moving time window to establish the local space spectrum at different times or different distances. The multidamage detection capability of the proposed enhanced TR-MUSIC algorithm is verified by simulations and experiments. The results reveal that the local TR-MUSIC algorithm can not only effectively detect multiple damages in plate-type structures with good image quality but also has a superresolution ability for detecting damage with distances smaller than half the wavelength.

摘要

基于兰姆波的损伤成像技术是飞机结构健康监测的一种很有前途的技术，因为提高损伤检测的分辨率是一个持续存在的挑战。在本文中，开发了一种基于时反-多重信号分类（TR-MUSIC）算法的损伤成像技术，用于检测板状结构中的损伤。在 TR-MUSIC 算法中，首先通过激励和传感信号建立传递矩阵。构建一个 TR 算子进行特征值分解，将数据空间划分为信号和噪声子空间。根据两个子空间的正交性计算算法的结构空间谱。提出了一种局部 TR-MUSIC 算法，通过使用移动时间窗口在不同时间或不同距离处建立局部空间谱，来增强多个损伤的图像质量。通过仿真和实验验证了所提出的增强型 TR-MUSIC 算法的多损伤检测能力。结果表明，局部 TR-MUSIC 算法不仅可以有效地检测板状结构中的多个损伤，而且具有超分辨率能力，可以检测距离小于半波长的损伤。

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