Study on Vibration Signal Noise Reduction of CNC Machine Tools Based on CEEMD
Based on the Complementary Ensemble Empirical Modal Decomposition(CEEMD)toolkit in MATLAB software,the vibration signals of CNC machine tools are processed by CEEMD for noise reduction.By applying CEEMD to the decomposition of vibration signals,the noise components in the signals can be effectively reduced and useful vibration information can be extracted.The experimental results show that,compared with the wavelet decomposition and empirical modal decomposition(EEMD),the CEEMD-based noise reduction method can be more convenient to analyze the vibration signals of the numerical control machine tools,which is conducive to the improvement of the accuracy.Therefore,the noise reduction analysis method of CNC machine tool vibration signal based on CEEMD has high practical significance and can provide certain theoretical basis for the machining design and accuracy improvement of CNC machine tools.
CNC machine toolvibration signal noise reductioncomparative analysisCEEMD
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