Research on Harmonic Detection Method Based on Wavelet Neural Network with a New Structure

被引：1
|
作者：
Zhang, Ming [1 ]
Wang, Yang [1 ]
Cheng, Chen [1 ]
Xu, Jiaxiong [1 ]
He, Shunfan [2 ]
Hu, Yisheng [3 ]
机构：
[1] Wuhan Text Univ, Sch Elect & Elect Engn, Wuhan, Peoples R China
[2] South Cent Univ Nationalities, Coll Comp Sci, Wuhan, Peoples R China
[3] Hawk Elect Pte Ltd, Wuhan, Peoples R China
来源：
2021 3RD ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2021) | 2021年
基金：
中国国家自然科学基金;
关键词：
harmonic detection; wavelet neural network; neural network; wavelet transform;
D O I：
10.1109/AEEES51875.2021.9403003
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Combining wavelet transform and artificial neural network, a wavelet neural network for harmonic detection is proposed. By setting the wavelet function as the excitation transfer function of neural network, a new structure of the neural network is designed to meet the requirements of harmonic detection, which can obtain the parameters such as fundamental frequency, amplitude and phase at one time. Finally, through the simulation analysis, the experimental results show that the method is effective and accurate.
引用
收藏
页码：316 / 319
页数：4
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