摘要
针对管道泄露信号中存在环境噪声干扰的问题,本文提出一种基于反馈机制的变分模态分解的联合去噪方法。该方法是将变分模态分解与巴氏距离联合,首先将采集信号通过变分模态分解(Variational mode decomposition,VMD)得到两个模态分量,而后通过计算各模态分量与原始含噪信号的巴氏距离(Bhattacharyya Distance,BD)筛选出较纯净的模态分量,之后将筛选所得分量反馈回输入端并从原始含噪信号中减去,根据人为设定的迭代终止条件判断是否终止。采用反馈机制的VMD与巴氏距离构建的联合去噪方法对仿真信号以及实测的管道泄漏信号进行降噪处理,并从时域、频域、均方根误差(Root mean square error,RMSE)以及信噪比(Signal to noise ratio,SNR)四个方向与其他四种去噪算法对比,结果均表明,本文所提方法能够有效去除噪声,具有良好的去噪性能。
In order to solve the problem of environmental noise interference in pipeline leakage signals, a joint denoising method based on variational mode decomposition(VMD) and feedback mechanism is proposed. In this method, the variational mode decomposition(VMD) is combined with the Babbitt distance.Firstly, the collected signal is obtained by variational mode decomposition(VMD), and then the purer modal components are selected by calculating the Bhattacharyya distance(BD) between each modal component and the original noisy signal. Then, the filtered components are fed back to the input and subtracted from the original noisy signal, and whether to terminate is judged according to the artificially set iteration termination conditions. The joint denoising method constructed by VMD and Babbitt distance of feedback mechanism is used to denoise the simulated signal and measured pipeline leakage signal, and compared with the other four denoising algorithms in time domain, frequency domain, root mean square error(RMSE) and signal to noise ratio(SNR). The proposed method can effectively remove noise and has good denoising performance.
作者
江海
莫跃
何其愚
JIANG Hai;MO Yue;HE Qiyu(Tianshengqiao Bureau,EHV Power Transmission Company,China Southern Power Grid Co.Ltd.,Xingyi 562400 Guizhou,China;2 Yunnan Xintiandi Artificial Environmental Engineering Co.,Ltd.,Kunming 650000 Yunnan,China)
出处
《电力大数据》
2021年第6期36-43,共8页
Power Systems and Big Data
关键词
巴氏距离
变分模态分解
管道泄漏
去噪
反馈机制
Bhattacharyya distance
variational mode decomposition
pipe eeakage
denoising
feedback mechanism
