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Warped Variational Mode Decomposition With Application to Vibration Signals of Varying-Speed Rotating Machineries
IEEE Transactions on Instrumentation and Measurement ( IF 5.6 ) Pub Date : 2019-08-01 , DOI: 10.1109/tim.2018.2869440
Shiqian Chen , Yang Yang , Xingjian Dong , Guanpei Xing , Zhike Peng , Wenming Zhang

Recently, a powerful signal processing technique called variational mode decomposition (VMD) has drawn a great interest in various applications. The VMD assumes that the signal components are narrowly banded and separated in the frequency domain. Therefore, it cannot analyze wideband nonstationary signals with spectrum-overlapped components. To address this issue, a novel scheme called warped VMD (WVMD) is proposed in this paper. The WVMD includes the following steps. First, the phase function of a certain signal component is accurately estimated by optimizing a spectrum concentration index. Next, the time-warping principle is used to transform the original signal to a warped one in the phase coordinate where the spectrums of the components are well separated. Then, the conventional VMD can be used to effectively decompose the warped signal. Finally, the obtained signal components (of the warped signal) can be taken back to the time coordinate by the inverse warping operation. The WVMD works well in noisy environments and can even decompose signals with very close components. The effectiveness of the WVMD is validated by some simulated signals, a bat echolocation signal, and applications to real-life vibration signals of a rotor test rig and a hydroturbine.

中文翻译:

翘曲变模分解在变速旋转机械振动信号中的应用

最近,一种称为变分模式分解 (VMD) 的强大信号处理技术引起了各种应用的极大兴趣。VMD 假设信号分量在频域中是窄带和分离的。因此,它不能分析具有频谱重叠分量的宽带非平稳信号。为了解决这个问题,本文提出了一种称为扭曲 VMD(WVMD)的新方案。WVMD 包括以下步骤。首先,通过优化频谱集中指数来准确估计某个信号分量的相位函数。接下来,使用时间扭曲原理将原始信号转换为相位坐标中分量频谱分离良好的扭曲信号。然后,可以使用传统的 VMD 有效地分解扭曲的信号。最后,可以通过逆扭曲操作将获得的(扭曲信号的)信号分量带回到时间坐标。WVMD 在嘈杂的环境中运行良好,甚至可以分解成分非常接近的信号。WVMD 的有效性通过一些模拟信号、蝙蝠回声定位信号以及在转子试验台和水轮机的真实振动信号中的应用得到验证。
更新日期:2019-08-01
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