摘要
为实现对微弱放电目标的定位,提出了一种基于自适应随机共振技术检测微弱局部放电信号的方法。分别以具有不同持续时间的双指数函数和双指数衰减振荡函数模拟局部放电信号,加入强高斯噪声;利用该方法提取微弱放电信号,并通过实验验证了该方法的准确性。结果表明,在不同强度的噪声环境中,当尺度变换系数与信号采集频率的数量级相当、系统主要参数选取为信号持续时间的数十倍时,系统可达到随机共振状态,噪声部分能量将转移至放电信号,使得微弱的放电信号得到增强。该方法检测效果优于匹配滤波,为微弱局部放电信号检测提供了一种新方法。
In order to succeed in locating the weak electric discharge target, we proposed a new method based on adaptive stochastic resonance to detect the weak partial discharge signals. Firstly, this method was simulated to extract the weak partial discharge signals, which were simulated by the double exponential function and the double exponential decay oscillation function under the environment full of strong Gaussian white noise. Secondly, its performance was approved by the experimental data. The results indicate that, when the time scale changing parameter has a similar magnitude level as the signal sampling rate and the main parameter of the system is selected as tens of times of the useful discharge signal existent time, the system will arrive at aperiodic stochastic resonance. Partial energy of the noise will be converted to the discharge signal in a stochastic resonance system and consequently, the original weak discharge signal is enhanced. The effect of this method is much better than that of the matched filtering technique. Stochastic resonance technique can offer a new method to detect the weak partial discharge signals.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2016年第10期3221-3229,共9页
High Voltage Engineering
基金
国家自然科学基金(61172035)~~
关键词
自适应随机共振
放电信号
双指数
高斯白噪声
尺度变换系数
匹配滤波
adaptive stochastic resonance
discharge signal
double exponential
Gaussian white noise
time scale changing parameter
matched filtering technique
