电能信号降噪研究

发布时间：2018-01-23 21:00

本文关键词： 电能质量降噪小波分析　出处：《实验技术与管理》2017年06期 　论文类型：期刊论文

【摘要】：基于小波信号的变换原理,增加小波重构,提高电信号的精确度,同时增加反馈环节。先对电信号进行小波分解,查看是否有较多的暂态突变,假如有较多的暂态突变,或者电力系统部件有什么故障,可获得实时修正,使最后得到的降噪后信号更加精确。将重构的信号与真实信号相减,得出降噪方式处理后的实验结果发现:强制降噪范围比默认阈值降噪与给定阈值降噪大6~8倍,降噪后的信号与原信号相比差别太大,说明把较多有用信号去除了,这就违背了降噪的初衷,强制降噪后的信号精度不够。在实际工程应用中,可以根据情况选择给定阈值降噪方式以及默认阈值降噪方式。
[Abstract]:Based on the principle of wavelet signal transformation, the wavelet reconstruction is added to improve the accuracy of electrical signal and the feedback link is increased. Firstly, wavelet decomposition of the signal is carried out to see if there are more transient mutations. If there are more transient mutations or any faults in power system components, real-time correction can be obtained to make the final noise reduction signal more accurate and subtract the reconstructed signal from the real signal. The experimental results show that the range of forced noise reduction is 6 ~ 8 times larger than that of the default threshold and the given threshold, and the signal after denoising is much different from the original signal. It shows that more useful signals are removed, which is contrary to the original intention of noise reduction, and the signal precision after forced noise reduction is not enough. According to the situation, the given threshold denoising method and the default threshold denoising method can be selected.
【作者单位】：广东技术师范学院自动化学院;广东工业大学实验教学部;
【基金】：广东省自然科学基金项目“超导限流器与电力系统继电保护配合的研究”(S2013010015007)
【分类号】：TM711;TN911.7
【正文快照】： 随着大功率电力电子装置的普及应用,电力系统中电能质量问题越加凸显[1-3]。要净化电力环境,解决电能质量问题,就需要准确直观地检测出各类反映电能质量问题的技术数据,但这类技术数据受电磁干扰或检测传感器非线性的影响,往往含有大量的噪声信号[4-8]。去除电能信号中的噪声

【相似文献】