基于松弛迭代的电能扰动信号的去噪方法

Method of power disturbing signals denoising based on relaxation iteration

提出一种基于松弛迭代的电能扰动信号去噪方法。该算法利用局部突变点与其给定窗口内的邻域点的时域结构关系,判断信号的各采样点是否是突变点,然后作不同的处理。仿真实验结果表明,与五点均值法和五点中值法相比,用松弛迭代算法处理电能扰动信号能够得到较大的信噪比并保留较完整的突变信息。

This paper propounded a method of the power disturbing signals denoising based on relaxation iteration, and it used the time domain structure relations between the partial catastrophe points and their neighborhood points within the set window to judge whether the sampling points of the signals are catastrophe points, and then disposed differently. The mulation experi- ments prove that disposing the power disturbing signals with relaxation iteration algorithm is able to obtain the higher signal noise ratio and preserve more catastrophe information than five points mean algorithm and five points median algorithm.