Author(s)

Zhenyu Xu, Zhangwei Chen

State Key Lab of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China.

Electric vibrators find wide applications in reliability testing, waveform generation, and vibration simulation, making their noise characteristics a topic of significant interest. While Variational Mode Decomposition (VMD) and Empirical Wavelet Transform (EWT) offer valuable support for studying signal components, they also present certain limitations. This article integrates the strengths of both methods and proposes an enhanced approach that integrates VMD into the frequency band division principle of EWT. Initially, the method decomposes the signal using VMD, determining the mode count based on residuals, and subsequently employs EWT decomposition based on this information. This addresses mode aliasing issues in the original method while capitalizing on VMD’s adaptability. Feasibility was confirmed through simulation signals and ultimately applied to noise signals from vibrators. Experimental results demonstrate that the improved method not only resolves EWT frequency band division challenges but also effectively decomposes signal components compared to the VMD method.

Electric Vibrator, Noise Analysis, Signal Decomposing, Variational Mode Decomposition, Empirical Wavelet Transform

Xu, Z. and Chen, Z. (2024) Variational Mode Decomposition-Informed Empirical Wavelet Transform for Electric Vibrator Noise Analysis. Journal of Applied Mathematics and Physics, 12, 2320-2332. doi: 10.4236/jamp.2024.126138.