声学
振动
噪音(视频)
强度(物理)
萃取(化学)
信号(编程语言)
流量(数学)
材料科学
计算机科学
物理
光学
人工智能
机械
化学
色谱法
图像(数学)
程序设计语言
作者
Mingguang Shan,Xiong Xiao,Jianfeng Wang,M. Dang,Xueqian Zhou,Lihua Liang,Zhi Zhong,Bin Liu,Lei Liu,Lei Yu
出处
期刊:Measurement
[Elsevier]
日期:2024-05-01
卷期号:: 114889-114889
标识
DOI:10.1016/j.measurement.2024.114889
摘要
A noise-robust intensity optical flow (IOF) method was developed by leveraging the linear relationship between the vibrating displacement and optical intensity variation. By identifying measurement points with signal variance of regions of interest, this method fuses all the signals from these points into one integrated signal, and then decomposes it into various vibration mode signals and noise components. As a result, the vibration signals can be obtained with significant improvement of signal-to-noise ratio. Compared with existing advanced methods, our method is straightforward to perform better measured accuracy but preserve computationally efficient, even at the kilohertz level. Simulations and experiments are demonstrated to verify the capability and accuracy of this simple but effective method. The results show that the proposed method yields a correlation coefficient of 99.75 % with the identification results and a speed increase of > 30 % in contrast to the phase optical flow method.
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