电工技术学报  2018, Vol. 33 Issue (11): 2604-2612    DOI: 10.19595/j.cnki.1000-6753.tces.170410
高电压与绝缘 |
基于改进FastICA的局部放电在线监测窄带干扰高保真性抑制方法
周凯, 谢敏, 赵世, 林何珉, 张福忠
四川大学电气信息学院 成都 610065
Periodic Narrowband Noise Rejection with High Fidelity of Partial Discharge on Line Monitoring Based on Improved FastICA Algorithm
Zhou Kai, Xie Min, Zhao Shilin, He Min, Zhang Fuzhong
School of Electrical Engineering and Information Sichuan University Chengdu 610065 China
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摘要 为了解决传统阈值法和盲分离法在局部放电周期性窄带干扰抑制过程中存在的波形畸变与不确定性问题,提出利用改进的FastICA算法对局部放电(PD)信号进行窄带干扰抑制。首先结合PD混合信号离散傅里叶变换功率谱的特点,引入信息熵理论对窄带干扰个数进行确定,并提出利用功率谱“两步法”对窄带干扰频率进行精确估计;然后引入简化的Simpson-Newton迭代公式对FastICA算法进行改进,减少算法的迭代次数,并提出利用校准信号对分离信号进行校准,修正分离PD信号的幅值和相位。仿真及实测结果表明,该方法能够有效抑制周期性窄带干扰并能有效保留信号原始特征,且算法的时间复杂度较小,同时与频率切片小波去噪方法和傅里叶变换滤波相比,该方法去噪效果更明显,且能有效避免边缘效应的影响。
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周凯
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关键词 局部放电窄带干扰改进FastICA信息熵校准信号    
Abstract:To solve the waveform distortions and uncertainties of traditional threshold methods and blind separation methods for periodic narrowband noise rejection of partial discharges (PD), this paper presents a noise rejection method based on improved FastICA algorithm. Firstly, in this paper, the number of periodic narrowband noise is determined by information entropy theory combined with mixed partial discharge DFT power spectrum, and the power spectrum “two steps” method is proposed to estimate the interference frequency accurately. Then the simplified Simpson-Newton iteration method and calibration signal are introduced to improve the FastICA algorithm, which can reduce iterations and modify the separated PD signal effectively. The simulation and experiment results show that: the proposed method can reject periodic narrowband noise and keep the original features of partial discharges effectively with low time complexity. Compared with frequency slice wavelet and FFT denoising method, the denoised PD signals using the method of this paper are better without edge effect.
Key wordsPartial discharge    narrowband noise    improved FastICA    information entropy    calibration signal   
收稿日期: 2017-04-10      出版日期: 2018-06-13
PACS: TM835  
基金资助:中国博士后科学基金资助项目(2015T80976)
通讯作者: 谢敏 男,1993年生,硕士研究生,研究方向为电力设备状态监测。E-mail:xiemin_sc@163.com   
作者简介: 周凯 男,1975年生,教授,博士生导师,研究方向为电缆绝缘检测与修复等。E-mail:zhoukai_scu@163.com
引用本文:   
周凯, 谢敏, 赵世, 林何珉, 张福忠. 基于改进FastICA的局部放电在线监测窄带干扰高保真性抑制方法[J]. 电工技术学报, 2018, 33(11): 2604-2612. Zhou Kai, Xie Min, Zhao Shilin, He Min, Zhang Fuzhong. Periodic Narrowband Noise Rejection with High Fidelity of Partial Discharge on Line Monitoring Based on Improved FastICA Algorithm. Transactions of China Electrotechnical Society, 2018, 33(11): 2604-2612.
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