基于奇异值分解和谱相减的局部放电信号去噪新方法

IF 1.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Yifan Xu, Yan Jing, Yanxin Wang, Ruixin He, Jianhua Wang, Yingsan Geng
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引用次数: 1

摘要

局部放电(PD)检测是评估电气设备绝缘状态的关键。然而,PD信号经常被干扰淹没,导致检测结果不准确。针对这一问题,本研究提出了一种基于奇异值分解和改进谱相减的局部放电检测方法。首先,将测试信号构造为Hankel矩阵,该矩阵用作SVD的轨迹矩阵。接下来,将特征矩阵中的奇异值突变点设置为用于去除窄带干扰(NBI)的阈值,并且获得仅包含白噪声的信号。最后,采用改进的谱相减方法去除白噪声,提高信噪比。本文提出的方法与变分模式分解、经验模式分解和改进的阈值小波方法一起应用于局部放电信号的处理。此外,考虑到噪声抑制和特征保持能力,计算了四种算法的去噪信号的信噪比值、波形相似系数和均方误差。仿真和测量结果表明,SVD谱相减方法对窄带干扰和白噪声有很强的抑制作用。与其他算法相比,该方法可以显著提高执行效率,具有很大的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Novel denoizing method for partial discharge signals using singular value decomposition and spectral subtraction

Novel denoizing method for partial discharge signals using singular value decomposition and spectral subtraction

Partial discharge (PD) detection is essential in assessing the insulation state of electrical equipment. However, PD signals are often overwhelmed by interference, resulting in inaccurate detection results. Aiming at this problem, this study proposes a PD detection method based on singular value decomposition (SVD) and improved spectral subtraction. First, the test signal is constructed as a Hankel matrix, which is used as a trajectory matrix for the SVD. Next, the singular value mutation point in the feature matrix is set as the threshold for removing the narrowband interference (NBI), and a signal containing only white noise is obtained. Finally, the improved spectral subtraction is used to remove white noise and improve the signal-to-noise ratio (SNR). The method proposed herein, along with the variational mode decomposition, the empirical mode decomposition, and the improved threshold wavelet method, are applied to the processing of PD signals. Also, the SNR value, waveform similarity coefficient, and mean square error of the denoizing signal of the four algorithms were calculated, considering the noise suppression and feature preservation abilities. The simulation and measurement results show that the SVD-spectral subtraction method has a strong suppression effect on narrow-band interference and white noise. Compared with other algorithms, this method can significantly improve the execution efficiency and has great application prospects.

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来源期刊
Iet Science Measurement & Technology
Iet Science Measurement & Technology 工程技术-工程:电子与电气
CiteScore
4.30
自引率
7.10%
发文量
41
审稿时长
7.5 months
期刊介绍: IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques. The major themes of the journal are: - electromagnetism including electromagnetic theory, computational electromagnetics and EMC - properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale - measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.
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