融合HO-VMD的水电机组摆度信号消噪方法  

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

作　　者：吴挺玮 潘罗平[1] 安学利[1] WU Tingwei;PAN Luoping;AN Xuei(China Research Institute of Water Resources and Hydropower,Beijing 100048,China)

机构地区：[1]中国水利水电科学研究院,北京100048

出　　处：《水力发电学报》2024年第12期107-115,共9页Journal of Hydroelectric Engineering

基　　金：中国水科院基本科研业务费项目(TJ0145B022021)。

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。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.

关 键 词：水电机组 摆度信号 消噪 VMD算法 HO算法 

分 类 号：TV738[水利工程—水利水电工程]