Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing

机译：局部平均分解与SVD和在遥测振动信号处理中的应用相结合

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To suppress the noise effect on the performance of local mean decomposition (LMD) in signal processing, a new method combined with singular value decomposition (SVD) denosing was proposed in this work. SVD is applied to denoise the observed signal, and then the signal decompose to series product functions (PF) by LMD, meanwhile, SVD is applied to denoise the PF and sum the PF to LMD again. This method can suppress the noise effect to attain high precision PF for time-frequency analysis. Simulation signal and telemetry vibration signal processing results show the effectiveness of the method.

机译：为了抑制对信号处理中局部平均分解（LMD）性能的噪声效应，在这项工作中提出了一种新的方法与奇异值分解（SVD）表示结合。 SVD应用于去噪观察信号，然后通过LMD将信号分解为串联产品函数（PF），同时SVD被施加以将PF扩大并再次将PF与LMD相加。该方法可以抑制噪声效应，以获得高精度PF以进行时频分析。仿真信号和遥测振动信号处理结果显示了该方法的有效性。

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《International Conference on Computer Science and Electronics Engineering》|2013年||共5页
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作者
Zhenxing LI; Weixiao DAI;
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中图分类 TP3-53;
关键词
Local mean decomposition; SVD; Telemetry; Vibration signal processing; Denoising;

机译：局部均值分解;SVD;遥测;振动信号处理;去噪;

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Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing

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