摘要
基于小波用于消噪处理的目的 ,提出了自适应选取小波的方法。该方法首先用吴方法构造给定支集的正交小波 ,然后在大量的正交小波集中以门限信息花费函数作为优化选取小波的目标函数。现场实验结果表明 ,该方法可改善局部放电信号的提取效果 ,准确率高 ,波形失真小 ,而且有很强的鲁棒性。
The paper put forwards a method for selecting signal adapted wavelet in de noising. The method is based on constructing compacted orthogonal wavelets with Wu’s elimination algorithm. A threshold information cost function is used as the objective function during choosing optimal wavelet. The approach is validated by its application to de noising for on line PD measurement. The physical experiments and field tests show that the method improves the accuracy of the partial discharge (PD) extraction with less deformation and stronger robustness.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2001年第8期1-4,共4页
Proceedings of the CSEE
基金
国家自然科学基金资助项目 (6 97740 0 3)&&
关键词
自适应
小波
局部放电
吴方法
检测
目标函数
signal adapted wavelet
Partial discharge
Wu’s elimination method
