视觉位感条纹多维动态测量原理及其发展
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1.福州大学机械工程及自动化学院 福州 350116;2.闽江学院福建省信息处理与智能控制重点实验室 福州 350121; 3.莆田学院现代精密测量与激光无损检测福建省高校重点实验室 莆田 351100

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TH212

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国家自然科学基金(51905102、51675103),中国博士后科学基金(2019M662226),闽江学院福建省信息处理与智能控制重点实验室开放课题资助(MJUKF-IPIC202005),现代精密测量与激光无损检测福建省高校重点实验室开放基金(2018XKA003)资助项目


Theories and its Developments of Vision-based Displacement-sensitive Fringe Pattern for Multi-dimensional Dynamic Measurement
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1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China; 2. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou 350121, China; 3. Modern Precision Measurement and Laser Nondestructive Testing Key Laboratories of Universities in Fujian Province, Putian 351100, China

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    摘要:

    针对现有单目视觉测量技术不易实现结构三维振动同步测量及转动测量的问题,提出一系列新型视觉位感条纹作为振动位移或旋转角位移传感器,以单台高速相机作为探测器,实现非旋转结构三维振动位移、转轴三维振动位移、旋转角位移及转速等多维度、多参数的同步测量,形成了一系列视觉位感条纹动态测量新方法。对不同功能视觉位感条纹的由来及其测量原理进行了详细阐述,并通过一系列实验结果验证了各类视觉位感条纹在非旋转结构三维振动、转轴三维振动与转动多参数同步测量的可行性与准确性,相关方法可为多类结构的状态监测和故障诊断提供新的测量方案。

    Abstract:

    Aiming at the problem of existing monocular vision measuring technique in synchronously measurement for structural 3D vibration and rotation parameters measurement, a series of novel vision displacement-sensitive fringe pattern (DSFP) based dynamic measurement methods were proposed. Multi-dimensional and multi-parameter synchronous measurement for non-rotating structural 3D displacement, rotating shaft 3D displacement, rotation angle and rotation speed could be realized by using the novel DSFPs as vibration displacement or rotation angular displacement sensors and using a high-speed camera as a detector. The evolution and measurement principle of different DSFPs were well descried. The feasibility and accuracy of the vision DSFP-based measurement methods for the measurement of non-rotating structural 3D displacement, rotating shaft 3D displacement and rotation parameters were verified by experimental results, which provides a series of measurement solution for structural condition monitoring and faults diagnosis.

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钟剑锋,李思钰,吴生源,陈新伟,罗曼婷,钟舜聪.视觉位感条纹多维动态测量原理及其发展[J].电子测量技术,2021,44(6):122-129

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  • 在线发布日期: 2024-10-18
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