Institute of Engineering Technology, University of Science and Technology Beijing, Beijing 100083, China.
Sensors (Basel). 2022 Dec 29;23(1):354. doi: 10.3390/s23010354.
Laser ultrasound signal echoes are easily drowned out by the surrounding environmental noise in industrial field applications, and it is worthwhile to study methods of retaining the weak ultrasound signal during signal processing. To address this problem, this paper proposes to adopt the parameters optimized by the whale optimization algorithm to the variational mode decomposition (VMD) of laser ultrasound signals. The optimized parameters can avoid the frequency mixing and incomplete noise separation caused by the choice of artificial VMD parameters. The Hausdorff distance is applied in the process of reconstructing the signal to help accurately select the relevant modes and improve the signal-to-noise ratio. Simulation and experimental results show that the proposed method is feasible and effective compared with the other three available denoising methods.
激光超声信号回波在工业现场应用中很容易被周围环境噪声淹没，因此在信号处理过程中研究保留弱超声信号的方法是很有价值的。针对这一问题，本文提出采用鲸鱼优化算法优化参数对激光超声信号的变分模态分解（VMD）进行处理。优化后的参数可以避免人工选择 VMD 参数带来的频率混合和不完全噪声分离问题。在信号重构过程中应用 Hausdorff 距离来帮助准确选择相关模态，提高信噪比。仿真和实验结果表明，与其他三种可用的去噪方法相比，该方法是可行和有效的。
