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小波分析在水电机组状态检测中的应用研究
Wavelet Analysis in Condition Monitoring of Hydropower Unit
【摘要】 研究了基于小波分析的滤波方法及其在水电机组状态检测信号滤波中的仿真实现。利用小波分析将检测信号分解到互不重叠的频带上,根据真实信号的频率特性,删除掉其中某些频段内的干扰与噪声信号,然后对信号进行重构,从而实现了对信号的滤波。仿真结果表明,小波分析的滤波方法与传统的滤波方法相比,可以有效地滤除检测信号中的各类噪声与干扰,保存其中有用的频带信息。
【Abstract】 Signal filter based on wavelet analysi s and its realization in condition monitoring of hydropow er was dis-cussed in this paper.Using wavelet to decompose the original signal to mutually disjoint frequency range and re move use less fre quen cy range ac cording to the featu re of actual signal.Then compose the rest frequency range to achieve signal fi ltering.Compared with FFT based signal filter,wavelet based signal filter can filtrate noise and dis turb effec-tively and hold useful pinnacle and break.
- 【文献出处】 华中电力 ,Central China Electric Power , 编辑部邮箱 ,2003年02期
- 【分类号】TV734
- 【被引频次】1
- 【下载频次】69