| 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。 |
| 关键词: 水力发电 水力机组 振动故障诊断 小波包消噪 |
| DOI： |
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| 基金项目:陕西省教育厅专项科研基金项目（095JK266） |
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| Research on fault signal de noising method of hydropower generating unit vibration based on wavelet packet |
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| Abstract: |
| 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. |
| Key words: hydroelectric power hydropower generating unit vibration fault diagnosis wavelet packet de-noise |
