The FPGA Implementation of Wavelet-Neural Network Based On DSP Builder

被引：0

作者：

Liu, Bing Qian ^{[1
]}

Gong, Mao Fa ^{[1
]}

Wang, Wen Shuo ^{[1
]}

Lin, Yu Qing ^{[1
]}

Xu, Yi Sheng ^{[1
]}

Yin, Fan Jiao ^{[1
]}

Li, Mei Rong ^{[1
]}

机构：

[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING | 2015年 / 121卷

关键词：

wavelet-neural network; DSP Builder; differential protection; FPGA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the wavelet-neural network algorithm of relay protection device has the characteristics of requirement of high sampling frequency and large amount of data calculation, we use FPGA to realize the algorithm in hardware. A system model is built and converted into VHDL code through the system-level digital signal processing development tool named DSP Builder from Altera Company. We verified the correctness and feasibility of the method by the timing simulation diagram get from Modelsim SE software. This paper implemented protection method of the wavelet transform and neural network with hardware, and completed a series of research work in the field of transformer differential protection.

引用

页码：900 / 903

页数：4

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