A method in which the phase information of complex wavelet transform coefficients is applied to analyze the signal mutation is analyzed.
在分析利用复值小波变换系数的相位信息分析信号突变的方法的基础上,针对利用小波变换算法得到的相位图不连续的问题,提出了改进相位图。
参考来源 - 利用复值小波变换检测轻微的电力系统扰动A fast algorithm for Wavelet Transform is also proposed and applied in the extraction of the phase change rate for complex wavelet transform of stable-state stator current, which can detect broken rotor bar faults effectively.
由连续小波变换离散化得到的离散小波变换算法运算量大，计算速度慢，本文提出了一种小波变换快速算法，它利用递推方法计算小波系数，运算速度很快。 本文将该快速算法应用到电机稳态电流信号复值小波变换的相对相位变化率提取中，用以诊断异步电机的转子故障。
参考来源 - 小波变换在电机故障诊断与测试中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
该方法构造的复值小波具有频率局部化性能好、取故障信号特征分量较准确的优点。
The complex wavelet functions constructed by means of this method have advantages of good performance in frequency localization and better veracity in extracting characteristic parts of signals.
复值小波变换能准确分辨出信号中所包含的幅值信息和相位信息，因而，适用于电力系统的故障信号的检测。
Because complex wavelet transforms can exactly identify amplitude and phase information in signal to be dealt with, they are suitable for detection of fault signals in power system.
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