为了克服小波固有的缺陷，本文构造了一种组合小波，并利用它实现了对电力暂态谐波信号含量及频率的准确检测。
To conquer the old wavelet inherent shortcoming, a combine wavelet is designed and used to realize the accurate detection to harmonic contents and frequency of power quality transient signals.
应用该方法对电力系统故障暂态信号进行消噪处理，从而更有利于故障的检测与识别。
This method can be applied to de-noising for transient signals of power system faults, making the faults easily identified.
利用该方法可为反应暂态原理的电力系统快速保护和测距装置提供准确的电压信号。
The revised CVT output obtained by the method can be used as correct voltage inputs of power system fast protections and fault locating devices based on the transient theory.
针对传统线性滤波器在暂态电能质量扰动检测中存在的固有缺陷，本文采用形态滤波器对电力扰动信号进行消噪。
Against the inherent defects of the traditional linear filter in the detection of transient power quality disturbances, this paper USES mathematical morphology morphological filters.
针对传统线性滤波器在暂态电能质量扰动检测中存在的固有缺陷，本文采用形态滤波器对电力扰动信号进行消噪。
Against the inherent defects of the traditional linear filter in the detection of transient power quality disturbances, this paper USES mathematical morphology morphological filters.
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