基于小波包最优小波树在故障录波数据压缩中的应用

The application of optimal wavelet tree in power system fault-recorder data compression

针对电力系统故障录波信号中蕴含丰富暂态特征信号的特点,在小波理论中多尺度多分辨率分析的基础上,提出了基于最小熵标准的最优小波树数据压缩的方法,并利用Matlab数学分析工具,从工程和实验角度出发,较为直观地探讨了小波包变换在故障录波数据压缩中的应用.

According to the characteristic of fault recorder signals containing abundance of transient information in power system, a method of optimal wavelet tree based on the multi-resolution analysis for the data compression at the criterion of minor entropy is presented. Using the toolbox of MATLAB, the application of wavelet packet transform in fault-recorder data compression is discussed.