Denoising Method of Parameter Optimization VMD Combined with Improved Wavelet Packet Threshold
To solve the issue of bearing signal fault features being easily drowned out by noise,a parameter optimization variational mode decomposition(VMD)method combined with improved wavelet packet threshold denoising is proposed.Firstly,by using VMD combined with Improved Particle Swarm Optimization(IPSO),the noisy signals are decomposed into several Intrinsic Mode functions(IMF).Based on the criterion of maximum correlation coefficient-correlation kurtosis,the IMFs are divided into high-value Intrinsic Mode functions(HIMF)and low-value Intrinsic Mode functions(LIMF).The Improved wavelet packet threshold denoising is applied to the LIMF.Finally,the envelope of the reconstructed signal is demodulated,and the bearing fault characteristic frequency is extracted.And the fault diagnosis is completed.Experimental results show that the proposed method can not only overcome the phenomenon of"overkill",but also obtain the denoised signal with higher signal-to-noise ratio.
vibration and wavevariational mode decompositionwavelet packet threshold denoisingcorrelation kurtosiscorrelation coefficientbearing
万方数据
维普
