东北电力技术2025，Vol.46Issue(7)：29-35,7.
基于DBO算法优化VMD参数的电压信号去噪方法
Voltage Signal Denoising Method Based on DBO Algorithm to Optimize VMD Parameters
包宇涵 1马清峰1
作者信息
- 1. 淮北师范大学物理与电子信息学院,安徽 淮北 235000
- 折叠
摘要
Abstract
According to the problem of low feature differentiation and noise interference of soft fault signal in circuit,it proposes a de-noising method based on the joint DBO(dung beetle optimizer)and VMD.The method uses DBO algorithm to find the optimal VMD parameters,uses the optimized VMD to decompose the noisy voltage signal and reconstruct the IMF.The 13-dimensional time domain parameters of the reconstructed signal are extracted as the feature vector of the original response signal,and this feature vector is ap-plied to build a SVM(support vector machine)fault diagnosis model.Finally,the effectiveness of this method is verified by two diag-nostic examples of active filter circuit.This method can effectively remove the noise in the voltage signal and the denoising effect is better than the single common denoising methods such as EMD(empirical mode decomposition)and EEMD(ensemble empirical mode decomposition).关键词
故障诊断/蜣螂算法/变分模态分解/特征提取/去噪Key words
fault diagnosis/DBO/VMD/feature extraction/denoising分类
信息技术与安全科学引用本文复制引用
包宇涵,马清峰..基于DBO算法优化VMD参数的电压信号去噪方法[J].东北电力技术,2025,46(7):29-35,7.
