结合奇异值分解与最小描述长度准则的变压器极化电流数据去噪方法

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Abstract In order to eliminate the noise interference, a signal denoising algorithm is proposed based on singular value decomposition (SVD) and minimum description length (MDL). The measured data are used to construct Hankel matrix and perform singular value decomposition. The signal is decomposed into a linear superposition of useful components and useless components. The MDL is used to determine the boundary between signal and noise, and the useful components are extracted to reconstruct the signal. The results of simulation and measured data show that MDL can effectively distinguish the useful component from the noise, the trend of denoising data is complete, and the noise is effectively removed. Compared with the results of wavelet hard and soft threshold denoising, the signal to noise ratio (SNR) can be increased by 12.61dB, and the root mean square error (RMSE) can be reduced by 47%.

Key words： singular value decomposition (SVD) Gaussian noise polarization current transformer insulating medium signal denoising

Received: 12 January 2021

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	Articles by authors
	WANG Qianwen
	RAO Hongjiang
	HE Yihong

Cite this article:

WANG Qianwen,RAO Hongjiang,HE Yihong. Denoising method of transformer polarization current data based on singular value decomposition and minimum description length[J]. Electrical Engineering, 2021, 22(8): 39-44.

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http://dqjs.cesmedia.cn/EN/Y2021/V22/I8/39

[1] 沈剑韬, 何益宏. 一种基于高压高阻电桥的电力变压器绝缘电阻吸收比测量方法[J]. 电气技术, 2019, 20(8): 45-48.
[2] 林智勇, 张达敏, 郑运鸿, 等. 混联等效电路p参数诊断变压器油纸绝缘老化研究[J]. 电力系统保护与控制, 2020, 48(15): 164-169.
[3] 张大宁, 刘孝为, 詹江杨, 等. 变压器油纸绝缘频域介电谱的虚部分析[J]. 电工技术学报, 2019, 34(4): 847-854.
[4] 叶荣, 蔡金锭. 油纸绝缘极化等效电路的时域介电谱三次微分解析法[J]. 仪器仪表学报, 2018, 39(6): 112-119.
[5] 龚军, 周凯, 张福忠, 等. 基于极化-去极化电流法的油纸绝缘套管的绝缘状态评估研究[J]. 绝缘材料, 2018, 51(12): 42-46.
[6] 陈和洋, 吴文宣, 郑文迪, 等. 电力系统谐波检测方法综述[J]. 电气技术, 2019, 20(9): 1-6.
[7] 陈凡, 张晓宇. 基于EMD与对数能量的滚动轴承故障诊断方法(英文)[J]. 机床与液压, 2020, 48(24): 197-202.
[8] 蒋海峰, 张曼, 赵斌炎, 等. 基于改进Hilbert-Huang变换的电网故障诊断[J]. 电工技术学报, 2019, 34(增刊1): 336-342, 351.
[9] TANG Mingxi, WU Xinjun, CONG Ming, et al. A method based on SVD for detecting the defect using the magnetostrictive guided wave technique[J]. Mechanical Systems and Signal Processing, 2016, 70-71(3): 601-612.
[10] CHEN Shiqian, YANG Yang, WEI Kexiang, et al.Time-varying frequency-modulated component extraction based on parameterized demodulation and singular value decomposition[J]. IEEE Transactions on Instru- mentation and Measurement, 2016, 65(2): 276-285.
[11] GOLAFSHAN R, SANLITURK K Y. SVD and Hankel matrix based de-noising approach for ball bearing fault detection and its assessment using artificial faults[J]. Mechanical Systems and Signal Processing, 2016, 70-71(3): 36-50.
[12] LI Hua, LIU Tao, WU Xing, et al.Research on bearing fault feature extraction based on singular value decomposition and optimized frequency band entropy[J]. Mechanical Systems and Signal Processing Volume, 2019, 118(3): 477-502.
[13] 张景润, 李伟光, 李振, 等. 基于奇异值差分谱理论的大型转子轴心轨迹提纯[J]. 振动与冲击, 2019, 38(4): 199-205.
[14] 周凯, 黄永禄, 谢敏, 等. 短时奇异值分解用于局放信号混合噪声抑制[J]. 电工技术学报, 2019, 34(11): 2435-2443.
[15] XIE Beibei, KONG Deming, KONG Weihang, et al.A novel noise reduction method based on VMD and SVD for recovered manchester coding signal[J]. Journal of Applied Science and Engineering, 2019, 22(1): 11-18.
[16] 王益艳. 基于特征均值的SVD信号去噪算法[J]. 计算机应用与软件, 2012, 29(5): 121-123, 142.
[17] 许佳奇, 王川川, 曾勇虎, 等. 盖尔圆定理和最小描述长度准则相结合的信源数目估计方法研究[J]. 信号处理, 2017, 33(增刊1): 53-57.
[18] LI Zhen, LI Weiguang, ZHAO Xuezhi.Feature frequency extraction based on singular value decom- position and its application on rotor faults diagnosis[J]. Journal of Vibration and Control, 2019, 25(3): 107754631881869.
[19] 蔡锋, 江修波, 蔡金锭. 应用极化电流辨识油纸绝缘系统等值电路参数[J]. 高压电器, 2016, 52(8): 64-70.