【摘要】 提出用双正交小波进行压缩的原理和算法 ,对不同采样频率和类型的故障数据进行了压缩与还原 ,并分析了在不同压缩比下的平均相对误差。小波分解应用多分辨分析的理论将信号分解成不同尺度 ,通过改变阀值就可控制不同频率分量的取舍及其压缩比和精度。结果表明 ,该算法减小了文件长度和数据通信的负担更多还原

【Abstract】 The principle and algorithm of data compression for power system fault recorder based on bi\|orthogonal wavelet are proposed in this paper. The compression and restoration of fault current data form different fault type and various sampling intervals are performed. The average comparative errors on different compression ratio are analyzed. In wavelet decomposition the theory of multiple-resolution analysis (MRA) is used to decompose the signal to different scales. Changing the threshold, the acceptance or rejection of the components of various intervals, the wavelet compression ratio and precision can be controlled. The compression results show that with this proposed method the size of file and the burden of data communication can be reduced.更多还原