.png){kind=icon}
返回
A self-organizing learning array system for power quality classification based on wavelet transform
.png){kind=icon}
PRE
AI
DOI：10.1109/TPWRD.2005.852392.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposed a novel approach for the Power Quality (PQ) disturbances classification based on the wavelet transform and self organizing learning array (SOLAR) system. Wavelet transform is utilized to extract feature vectors for various PQ disturbances based on the multiresolution analysis (MRA). These feature vectors then are applied to a SOLAR system for training and testing. SOLAR has three advantageous over a typical neural network: data driven learning, local interconnections and entropy based self-organization. Several typical PQ disturbances are taken into consideration in this paper. Comparison research between the proposed method, the support vector machine (SVM) method and existing literature reports show that the proposed method can provide accurate classification results. By the hypothesis test of the averages, it is shown that there is no statistically significant difference in performance of the proposed method for PQ classification when different wavelets are chosen. This means one can choose the wavelet with short wavelet filter length to achieve good classification results as well as small computational cost. Gaussian white noise is considered and the Monte Carlo method is used to simulate the performance of the proposed method in different noise conditions.
Keyword:
noise
power quality (PQ)
self-organizing learning array (SOLAR)
support vector machine (SVM)
wavelet transform
期刊
IF:
3.7
论文数:
9.1K
被引数:
2.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
Power quality detection and classification using wavelet-multiresolution signal decomposition基于小波多分辨率信号分解的电能质量检测与分类
PREAI
分享收藏Hydrogen Mobility Europe (H2ME): Vehicle and Hydrogen Refuelling Station Deployment Results欧洲氢能移动 (H2ME): 车辆和加氢站部署结果
OAAI
OAAI分享收藏THE ENVIRONMENTAL IMPACT CAUSED BY THE CERAMIC INDUSTRIES AND ASSESSMENT METHODOLOGIES陶瓷行业对环境的影响及评估方法
OAAI
OAAI分享收藏
查看更多内容