一种基于稀疏分解的静电信号去噪方法

介绍了发动机静电监测技术的原理，对静电监测信号的复杂噪声成分和类型进行分析，总结了以往经典去噪方法的不足。针对静电信号复杂噪声滤除问题，提出了一种基于稀疏分解理论的静电信号去噪方法。分析了基于稀疏分解的静电信号去噪方法流程；以所构建仿真信号和实测试车静电信号作为分析对象，利用所提方法进行了去噪分析与实例验证，并与其他经典方法的去噪效果进行了对比。结果表明:基于稀疏分解的静电信号去噪方法具有很高的灵活性，能对信号背景中包含的高斯白噪声以及工频干扰噪声能够进行有效地去除，同时能够对于有用脉冲信号的成分进行保留，针对复杂静电信号去噪问题具有良好的应用效果。 

Denoising method for electrostatic dignal based on sparse decomposition

The principle of engine electrostatic monitoring technology was introduced. The complex noise components and types of electrostatic monitoring signals were analyzed. The shortcomings of classical denoising methods were summarized. For the complex noise filtering problem of electrostatic signals, a denoising method based on sparse decomposition was proposed. The process of denoising method based on sparse decomposition was analyzed. The simulation signal and the electrostatic signal of real test vehicle were taken as the analysis objects, and the denoising analysis was carried out by using the proposed method. Compared with the example verification and the denoising effect of other classical methods, the results show that the electrostatic signal denoising method based on sparse decomposition has high flexibility, and can effectively remove the Gaussian white noise and power frequency interference noise contained in the signal background, and retain the components of the useful pulse signal. It has a good application effect on the complex electrostatic signal denoising.