西北工程技术学报2025，Vol.24Issue(1)：60-67,8.
基于改进RLS-EMD的电能质量扰动信号去噪算法
The Denoising Algorithm for Power Quality Disturbance Signals Based on Improved RLS-EMD
摘要
Abstract
Aiming at the problem of external noise interference in power quality disturbance signal detection,a denoising algorithm that combines empirical mode decomposition(EMD)and improved recursive least squares(RLS)was proposed in this paper.The disturbance signal was decomposed into a series of intrinsic mode functions(IMF)and residuals by EMD.The denoised IMFs were obtained using an RLS adaptive noise canceler with improved regularization,and then merged to form the denoised disturbance signal.The improved algorithm can effectively control the update of model weights and strengthen adaptability to noise changes and non-stationary signal characteristics.Simulation results indicate that the algorithm exhibits superior performance in denoising effect,stability and signal fidelity.关键词
信号去噪/电能质量扰动信号/经验模态分解/递归最小二乘法/自适应噪声消除器Key words
signal denoising/power quality disturbance signal/empirical mode decomposition/recursive least squares method/adaptive noise canceler分类
动力与电气工程引用本文复制引用
刘永强,王金梅,张祎雯..基于改进RLS-EMD的电能质量扰动信号去噪算法[J].西北工程技术学报,2025,24(1):60-67,8.基金项目
宁夏自然科学基金(2019AAC03027) （2019AAC03027）
宁夏回族自治区重点研发计划项目(2020BDE03003) （2020BDE03003）
宁夏回族自治区重点研发计划项目(2018BFH03004) （2018BFH03004）
