电弧信号小波去噪分析

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摘要利用小波去噪方法分析电弧信号是小波分析应用于实际工程的重要方面。波变换具有多分辨率的特点,在时域和频域都具有表征信号局部特征的能力,适合分析非平稳信号,可以由粗及精地逐步观察信号。本文利用铜电极放电产生电弧,采用外加风源模拟气流横向吹弧,观察横向气流干扰作用下的电弧波形,并采用小波去噪法对电弧电压和电流信号进行分析,探寻气流对电弧的影响,以期为开关电器灭弧技术及电器设备电弧检测方法提供参考。

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	米正英
	王瑜
	王立东
	张婷婷

关键词 ：小波, 电弧信号, 信号处理, 气流吹弧

Abstract：Using wavelet denoising method to analyze arc signal is an important aspect of applying wavelet analysis to practical engineering. Wave transform is with the characteristics of multi-resolution, as well as the ability to characterize the local characteristics of signals in both time and frequency domains. It is suitable for analyzing non-stationary signals and can observe signal gradually from rough to precise. In this paper, the arc is generated by the discharge of two copper electrodes. Used the external air source to simulate the transverse arc blowing, arc waveform with the fuction of transverse air flow is observed. The signal of arc voltage and current is analyzed by the method of wavelet denoising, and the influence of air flow on arc is explored. It is of high guiding significance for the arc extinguishing technology of switchgear and arc detection method of electric equipment.

Key words： wavelet arc signal signal processing gas flowing arc

收稿日期: 2019-08-12 出版日期: 2020-03-20

作者简介: 米正英(1993-),男,本科,继电保护工程师,主要研究方向为继电保护及自动装置运维。

引用本文:

米正英, 王瑜, 王立东, 张婷婷. 电弧信号小波去噪分析[J]. 电气技术, 2020, 21(3): 103-107. Mi Zhengying, Wang Yu, Wang Lidong, Zhang Tingting. Wavelet denoising analysis of arc signals. Electrical Engineering, 2020, 21(3): 103-107.

链接本文:

https://dqjs.cesmedia.cn/CN/Y2020/V21/I3/103