Four steps of power quality complex disturbance classification are presented:static classification tree construction,clustering analysis,dynamic classification tree construction and new found complex disturbance definition.
给出了电能质量复合扰动分类算法的4个步骤:构建静态分类树;用基于Mercer核的聚类方法进行聚类分析;构建动态分类树;对新发现的扰动确定其具体类型,并给其命名。
参考来源 - 电能质量复合扰动分类识别·2,447,543篇论文数据，部分数据来源于NoteExpress
基于时域、多分辨率分析和规则基的电能质量扰动分类。
Power quality disturbance classification based on time domain, rule based and wavelet multi - resolution decomposition.
提出了一种基于S变换和扩张神经网络的电能质量扰动分类方法。
A new approach combining S-transform and Extension Neural Network (ENN) to classify power quality disturbances is proposed in this paper.
同时，文中还对目前尚未解决的复合电能质量扰动分类问题进行了初步的探讨。
Furthermore, classification of complex power quality disturbances which has not been resolved is discussed in the thesis.
应用推荐