基于小波包的水力机组振动故障信号消噪方法研究

Research on fault signal de-noising method of hydropower generating unit vibration based on wavelet packet

在水轮发电机组故障诊断中,提取监测信号中的奇异信号特征,对准确判断机组运行状态具有重要意义。研究充分利用水力机组振动故障信号的特征和小波包的特点,采用小波变换的方法,通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析,并针对南桠河姚河坝水电站水轮发电机组实测数据进行检验,取得了良好效果。表明所研究的故障信号消噪方法能有效地从信号中提取信息。

In fault diagnosis of hydroelectric set,detection of strange signal always plays a key role in vibration fault diagnosis. Wavelet packet is a brand-new time-frequency analysis technique. In this paper, the fault signal characteristic of hydroelectric unit and hall mark of wavelet packet are studied to research a simple and effective method of de-noise by instance analysis in Nanyahe hydro power station and good effects have been achieved. Which indicates that the method of fault signal de-noising can pick up signals effectively from original data.