基于循环维纳滤波的振动信号去噪算法研究

振动信号的去噪需要在滤除噪声的同时尽可能避免相位失真。传统的锐截止低通滤波器或FIR滤波器无法在去噪效果和线性相位之间取得平衡,难以满足振动信号的去噪需求。针对这一问题,将线性相位的维纳滤波算法引入到振动信号的去噪中,并结合振动信号的循环平稳特性,形成了振动信号的循环维纳滤波算法。文中以直接维纳滤波为基础对循环维纳滤波算法的原理进行了深入分析和仿真实现,并基于实测汽轮机振动信号对算法的去噪性能进行了讨论。理论分析及算法仿真表明,循环维纳滤波算法在保证线性相位的前提下有较好的去噪效果,能够解决传统去噪算法所存在的去噪效果与线性相位难以均衡的问题。

Research on Denoising Algorithm of Vibration Signal Based on Cricular Wiener Filtering

Vibration signal denoising needs to avoid the phase distortion as far as possible.Traditional sharp cut-off of low-pass filter and FIR filter are unable to strike a balance between denoising and having a linear phase.It＇s difficult to meet the demand of vibration signal denoising.In order to solve this problem,the linear phase of Wiener filtering algorithm is introduced into the vibration signal denoising.Combined with the cycle of steady vibration signal characteristics,it forms the vibration signal cycle of Wiener filtering algorithm.Based on Wiener filtering,circulated Wiener filtering algorithm is studied by the thorough analysis and simulation.And the actual turbine vibration signal denoising algorithm is proposed.Theoretical analysis and algorithm simulation shows that the circulation Wiener filtering algorithm has good effect of denoising,which can solve the contradictory between denoising effect and linear phase equilibrium.