旋转机械振动信号的小波域维纳滤波去噪

Wavelet Domain Denoising for Rotating Machinery Vibration Signal Based on Wiener Filtering

为了去除旋转机械振动信号采集传输过程中混入的噪声干扰,文中基于维纳滤波和小波阈值滤波,通过建立旋转机械振动信号采集模型,结合振动信号滤波要求,提出了旋转机械振动信号的小波域维纳滤波算法.利用工业现场旋转机械实测振动信号,对该算法进行仿真.结果表明:该算法保持了旋转机械振动信号的线性相位特性,滤波后信号未产生明显的幅度失真;小波域维纳滤波的均方误差小于维纳滤波和小波阈值滤波,去噪效果优于维纳滤波和小波阈值滤波.

In order to remove the noise in rotating machinery vibration signal during the acquisition and transmission process, the algorithm of Wiener filtering in wavelet domain is proposed to meet the requirements of vibration signal filtering, based on Wiener filtering and wavelet threshold filtering, through the establishment of rotating machinery vibration signal acquisition model. Using the rotating machinery vibration signal which is actual measurement in the industrial field, the algorithm is simulated. The result shows. This algorithm can maintain the linear phase characteristics for rotating machinery vibration signal,the filtered signal doesn＇t produce the amplitude distortion~ The mean square error of Wiener filtering in wavelet domain is less than that of Wiener filtering and wavelet threshold filtering. The denoising result is better than Wiener filtering and wavelet threshold filtering.