改进数学形态方法及其在电能质量监测中的应用

在分析传统形态滤波方法缺陷的基础上，提出一种改进的数学形态方法来处理电能质量监测中采集数据的噪声问题．通过选取合适的结构元素，并利用不同的结构元素及其自适应的加权组合方式，设计了性能优异的电能质量扰动信号的处理方法，该方法能在保证信号局部特征的前提下对信号进行有效的去噪．文中介绍了算法的设计要点和步骤，并从仿真计算和实验设计两方面来分析所提方法的性能和效率．结果表明，该方法设计简单、计算速度快、易于硬件实现，是一种切实可行的方法。

An Improved Mathematical Morphology Method and Its Application to Power Quality Monitoring

By analyzing the defects of the traditional morphology filtering method, an improved mathematical morphology (MM) method is proposed to deal with the data noise in the power quality (PQ) processing. In this method, appropriate structural elements are selected and different structural elements and their self-adaptive weighted combination are used to form a treatment method for perturbation signals with excellent performance. The proposed method can effectively de-noise the PQ signals without changing the local characteristics of the original signals. The design kernels and steps of the proposed method are also introduced. Simulated results and practical application show that the proposed method is practicable and possesses the advantages of simplicity, high calculation speed and easy hardware implementation.