小波阈值降噪在岸桥小车轨道振动信号处理中的应用

针对测量时振动信号易受噪声干扰的特点，采用小波降噪法对原始信号进行降噪处理。小波具有“变焦距”、较好的时频局部分析能力等特性，适合非平稳信号振动噪声处理。分别通过小波阈值降噪法对仿真信号并口岸桥小车轨道铰点振动信号进行降噪处理。试验表明，小波阈值降噪法能够较好的消除噪声，能有效提高信噪比、降低均方误差，为进一步分析振动信号奠定了基础。

Application of Wavelet Threshold Denoising to Crane Trolley Track Vibration Signal processing

Wavelet denoising is used to solve the problem that vibration signal is easy to be interfered when measured. The wavelet has a good property of local analysis in both time domain and frequency domain. It＇s fit for analyzing nonstationary signals such as vibration noise signal. The simulated signal and vibration signal of on-spot trolley track joints were denoised separately by wavelet threshold denoising. The experiments showed that wavelet threshold denoising which builds the foundation of the further analysis of vibration signal, could be more effective to eliminate noise and to increase the Signal-to-Noise Ratio （SNR） of signal and to decrease the Mean-Square-Error （MSE）.