Frequency and Amplitude Measurement of A Cantilever Beam Using Image Processing : With A Feedback System

S. Khan, U. Ahmed, Sallar Qazi, S. Nisar, M. A. Khan, K. Khan, Farrauk Rasheed, Muhammad Farhan
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Abstract

Image processing techniques can be utilized in analyzing amplitude and frequency of vibrating structures. It is a form of non-contact method which is suitable for cases where application of contact devices could alter the frequency of structure. This paper covers the study based on vision system that performs amplitude and frequency measurement of a cantilever beam in near real time, using image processing and computer vision toolbox in MATLAB. The vision system then detects changes in amplitude followed by feedback mechanism to ensure operation at resonance frequency. The system includes a high speed camera which is able to detect amplitude and frequency of cantilever beam vibrating at a frequency with the help of mechanical exciter. The high speed camera captures images of the beam, that are processed by a MATLAB script for evaluation of amplitude and frequency. To locate amplitude of the vibrating beam, centroid recognition technique is used which tracks the centroids of the beam in consecutive frames and plots number of pixels moved by the centroid with respect to time. Later, frequency is found out on the basis of intensity change over the time. Amplitude analysis is done at different frequencies which are automatically adjusted with the help of microcontroller to determine the resonance point. Exciter continues to vibrate at the resonant frequency until a change in amplitude is detected, implying the formation of crack. At which point the system adjusts its vibrating frequency accordingly to adjust with the new resonant frequency. This paper covers proper experimental procedure backed with the results.
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利用图像处理技术测量悬臂梁的频率和幅值:带反馈系统
图像处理技术可用于分析振动结构的振幅和频率。它是一种非接触方法,适用于接触装置的应用可能改变结构频率的情况。本文研究了基于视觉系统,利用MATLAB中的图像处理和计算机视觉工具箱对悬臂梁进行近实时幅度和频率测量的方法。然后,视觉系统检测振幅的变化,然后通过反馈机制确保在共振频率下运行。该系统包括一个高速摄像机,该摄像机能够在机械激振器的帮助下检测悬臂梁在一定频率下振动的幅度和频率。高速摄像机捕获光束的图像,并通过MATLAB脚本对其进行处理,以评估振幅和频率。为了确定振动梁的振幅,采用质心识别技术,在连续的帧中跟踪梁的质心,绘制质心移动的像素数与时间的关系图。后来,频率是根据强度随时间的变化而确定的。在不同的频率下进行振幅分析,在单片机的帮助下自动调整频率以确定谐振点。激励器继续以共振频率振动,直到检测到振幅的变化,这意味着裂纹的形成。此时,系统相应地调整其振动频率以适应新的谐振频率。本文介绍了适当的实验步骤和结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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