The classification of power quality problems, their causing reasons, harm, and management methods are discussed in the paper.
本文讨论了电能质量问题的分类、产生原因、危害和解决方法。
The new method gives a entirely new way for detection, identification and classification of dynamic power quality disturbances.
该文方法为动态电能质量扰动的检测、识别与分类提供了新的思路。
This paper presents a Support Vector Machine (SVM) method for classification of dynamic power quality disturbances.
论文将支持向量机引入到动态电能质量分类问题中。
The paper makes an analysis from several aspects, such as the problem classification of electric power energy quality, its reason and the improving measures.
文章从电能质量问题的分类、产生原因及改善电能质量问题的措施等几个方面进行了阐述。
Using the different time-frequency characteristics of wavelet and wavelet packet, the proposed approach can avoid the noise and complete the detection and classification of transient power quality.
该方法利用小波和小波包各自的时频分解特点，实现了暂态电能质量扰动的自动检测和分类。
A new approach of classification of short duration power quality disturbances using generalized S-transform and fuzzy pattern recognition is proposed.
针对电能质量的短时扰动的分类问题，提出了一种基于广义s变换和模糊模式识别的短时电能质量的分类方法。
Furthermore, classification of complex power quality disturbances which has not been resolved is discussed in the thesis.
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.
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。
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