参数优化VMD-小波阈值的振动筛加速度信号降噪
Parameter Optimization VMD and Wavelet Threshold for Vibration Screen Acceleration Signal Denoising
郝江涛 1贾蒙2
作者信息
- 1. 新乡学院 机电工程学院,河南 新乡 453003;河南科技学院 机电学院,河南 新乡 453003
- 2. 新乡学院 机电工程学院,河南 新乡 453003
- 折叠
摘要
为去除振动筛的加速度信号中伴随的噪声,提出一种使用鲸鱼优化算法(Whale Optimization Algorithm,WOA)优化变分模态分解(variational mode decomposition,VMD)-小波阈值的加速度信号降噪方法.使用WOA对VMD的模态分解数k和惩罚因子α进行寻优,将得到的最优参数代入VMD中,并根据设定好的阈值,对含噪有效分量进行降噪处理.经实际运行验证,参数优化VMD-小波阈值降噪方法能有效消除信号噪声.
Abstract
In order to remove the noise associated with the acceleration signal of vibrating screen,a noise reduction method of acceleration signal using Whale Optimization Algorithm(WOA)to optimize the variational mode decomposition(VMD)-wavelet threshold is proposed.The modal decomposition number k and penalty factor α of VMD are optimized by WOA to obtain the optimal parameters.The optimal parameters are brought into VMD,and the noisy effective components are denoised by using wavelet threshold denoising.The actual operation shows that the parameter optimization VMD-wavelet threshold denoising method can effectively eliminate the signal noise.
关键词
加速度信号/VMD/鲸鱼优化算法/振动筛Key words
acceleration signal/VMD/whale optimization algorithm/vibrating screen引用本文复制引用
出版年
2024
NETL
NSTL
万方数据