Template Matching and Particle Filtering for Structural Identification of High- and Low-Frequency Vibration
Template Matching and Particle Filtering for Structural Identification of High- and Low-Frequency Vibration
复制标题
用于高频和低频振动结构识别的模板匹配和粒子过滤
DOI：
10.1007/978-3-031-04098-6_5
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Niezrecki, Christopher
中科院分区：
文献类型：
--
作者：
Valente, Nicholas A.;do Cabo, Celso T.;Mao, Zhu;Niezrecki, Christopher
数字图像相关法（DIC）是一种非接触式光学技术，在振动领域得到广泛应用。由于DIC的性质，具有应用图案的测试结构的制备对于获得准确的结果是重要的。研究无图案光学方法将是有益的，并且如果测试结构在光学测试之前不再需要预处理，则将是理想的。最近在文献中，基于相位的运动放大（PMM）已被用于放大细微的运动，用于结构识别。在这项工作中，模板匹配是用来相关的一系列放大图像的模板方面。在确定模板面之后，沿着位移的主方向沿着放置虚拟红色、绿色和蓝色（RGB）目标。然后随机生成粒子并用于找到RGB编码的目标，并进行聚类以获得可用于放大数据的频率提取的子像素位移。模板匹配粒子滤波（TMPF）方法的应用将进一步增强非接触式传感，除了提供一种更有效的方式处理光学数据。该方法被实施以实验性地表征两个结构的参数（即，悬臂梁和桥）具有高频和低频。
Digital image correlation (DIC) has been widely accepted in the vibration community for extracting strain and displacement using noncontact optical techniques. Due to the nature of DIC, the preparation of a test structure with an applied pattern is important for obtaining accurate results. Investigation into patternless optical methods would be beneficial, and it would be ideal if a test structure no longer needed pretreatment prior to optical testing. Recently in the literature, phase-based motion magnification (PMM) has been utilized to exaggerate subtle motion for structural identification. In this work, template matching is used to correlate a template facet over a series of magnified images. Following the determination of a template facet, virtual red, green, and blue (RGB) targets are placed along the principal direction of displacement. Particles are then randomly generated and used to find the RGB-coded targets and clustered to obtain sub-pixel displacements that can be used for frequency extraction of magnified data. Application of the template match particle filter (TMPF) approach will further enhance noncontact sensing, in addition to providing a more efficient way of processing optical data. This method is implemented to experimentally characterize parameters of two structures (i.e., a cantilever beam and bridge) having both high and low frequencies.