Noise reduction method of vibration signals from hydroelectric generators based on HO-VMD

吴挺玮; 潘罗平; 安学利

doi:10.11660/slfdxb.20241211

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Noise reduction method of vibration signals from hydroelectric generators based on HO-VMD

更新时间：2026-07-22

- Noise reduction method of vibration signals from hydroelectric generators based on HO-VMD
- Journal of Hydroelectric Engineering Vol. 43, Issue 12, (2024)
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- DOI：10.11660/slfdxb.20241211
  CLC：
- Online First：25 December 2024，
  
  Published：2024
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吴挺玮, 潘罗平, 安学利. Noise reduction method of vibration signals from hydroelectric generators based on HO-VMD[J]. Journal of Hydroelectric Engineering, 2024, 43(12).
DOI：

吴挺玮, 潘罗平, 安学利. Noise reduction method of vibration signals from hydroelectric generators based on HO-VMD[J]. Journal of Hydroelectric Engineering, 2024, 43(12). DOI： 10.11660/slfdxb.20241211.

摘要

变分模态分解（VMD）算法广泛应用于水电机组摆度信号消噪，可以克服传统分解方法中固有模态函数分量之间的模态混叠问题。但VMD算法的模态分解数和惩罚因子必须经过优化以获得最佳信号分解精度。本文介绍了一种融合HO-VMD算法的水轮机组摆度信号去噪方法，克服了传统VMD算法参数选择慢、泛化能力差的缺点。方法采用河马优化（HO）算法优化模态分解数及惩罚因子，与麻雀优化算法（SSA）改进的VMD算法及小波变换进行比较。结果表明：融合HO-VMD算法的水轮机组摆度信号消噪方法具有很好的效果，适合水电机组摆度信号的去噪。

Abstract

The Variational Mode Decomposition (VMD) algorithm has been used extensively for denoising swing signals from hydroelectric power generation units; it effectively addresses the issue of modal mixing encountered in the traditional algorithm through modal decompositions. However

its modal decomposition number and penalty factor must be optimized to achieve the best accuracy. This paper presents a fusion HO-VMD algorithm for denoising these unit swing signals to overcome the limitations of slow parameter selection and poor generalization capability found in previous VMD algorithms. This new method adopts the Hippopotamus Optimization (HO) algorithm to optimize both the number of modal decompositions and the penalty factor

and its performance is compared with that of the Improved Sparrow Optimization Algorithm (SSA) and Wavelet Transform VMD Algorithm. The results demonstrate this fusion HO-VMD algorithm is effective and suitable for denoising swing signals from hydroelectric power generation units.

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