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Research on Method of Wavelet Function Selection to Vibration Signal Filtering

机译:振动信号滤波的小波函数选择方法研究

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The wavelet multi-resolution analysis is very suitable for the analysis and processing of vibration signal. During the vibration signal filtering, the different wavelet function had immediate effect on filtering; as the different vanishing moment, the support length and filter length are different which caused to the different filtering efficiency. The wavelet function selection method is put forward included the waveform of wavelet function, the vanishing moment of wavelet function and the curvilinear smoothness of filtered signal. Emulated with the vibration signal of rotor experiment platform as an example, selected Db6 as filtering wavelet function, filtering processed the vibration signal, and the effect of signal filter was very obviously.
机译:小波多分辨率分析非常适合振动信号的分析和处理。在振动信号滤波过程中,不同的小波函数对滤波具有立竿见影的效果。由于消失力矩的不同,支撑长度和过滤长度也不同,导致过滤效率不同。提出了小波函数的选择方法,包括小波函数的波形,小波函数的消失矩和滤波信号的曲线平滑度。以转子实验平台的振动信号为例进行仿真,选择Db6作为滤波小波函数,对振动信号进行滤波处理,信号滤波效果非常明显。

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