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

作　　者：李郁侠 陈继尧[2] 王伟[1] 王丽霞[1] 

机构地区：[1]西安理工大学水利水电学院,陕西西安710048 [2]宁夏电力公司宁东供电局,宁夏银川750001

出　　处：《西北农林科技大学学报（自然科学版）》2007年第12期227-230,234,共5页Journal of Northwest A&F University(Natural Science Edition)

基　　金：陕西省教育厅专项科研基金项目(095JK266)

摘　　要：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.

关 键 词：水力发电 水力机组 振动故障诊断 小波包消噪 

分 类 号：TK730.8[交通运输工程—轮机工程]