摘要
针对小波包频带能量分解和Hilbert-Huang变化在信号的去噪研究中的优势,对比2种方法在液压挖掘机反铲切削过程中振动信号去噪的准确度。以液压挖掘机工作装置的振动信号为例,利用小波包频带能量分解算法与Hilbert-Huang变化算法分别对振动信号进行重构。其中,Hilbert-Huang变换首先是对振动信号通过经验模态分解(empirical mode decomposition,EMD)得到IMF分量;然后,对IMF分量进行Hilbert谱分析,得到IMF分量的能量特征,选择有用的IMF分量进行信号重构,从而消除噪音信号的干扰。研究结果表明:与小波包频带能量分解方法相比,Hilbert-Huang变换的液压挖掘机反铲切削过程振动的重构信号更加接近真实信号。
In view of the superiority of frequency band energy transform when using wavelet packet and Hilbert-Huang transform, the signal denoise accuracy of the two methods was compared in the process of backhoe cutting of hydraulic excavator. With the vibration signal of operating device of hydraulic excavator as an example, vibration signal was rebuilt by wavelet packet transform and Hilbert-Huang transform. Body vibration signals were decomposed into a sum of IMF components using empirical mode decomposition （EMD） at first. Then, the useful IMF components were selected to rebuild signals after Hilbert spectrum analysis. The results show that the accuracy of Hilbert-Huang transform is higher compared with that of frequency band energy transform using wavelet packet.
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第6期2267-2273,共7页
Journal of Central South University:Science and Technology
基金
国家高技术研究发展计划("863"计划)项目(2003AA430200)
