The FPGA Implementation of Wavelet-Neural Network Based On DSP Builder
Authors
Bing Qian Liu, Mao Fa Gong, Wen Shuo Wang, Yu Qing Lin, Yi Sheng Xu, Fan Jiao Yin, Mei Rong Li
Corresponding Author
Bing Qian Liu
Available Online April 2015.
- DOI
- 10.2991/isrme-15.2015.186How to use a DOI?
- Keywords
- wavelet-neural network; DSP Builder; differential protection; FPGA
- Abstract
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.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Bing Qian Liu AU - Mao Fa Gong AU - Wen Shuo Wang AU - Yu Qing Lin AU - Yi Sheng Xu AU - Fan Jiao Yin AU - Mei Rong Li PY - 2015/04 DA - 2015/04 TI - The FPGA Implementation of Wavelet-Neural Network Based On DSP Builder BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 900 EP - 903 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.186 DO - 10.2991/isrme-15.2015.186 ID - Liu2015/04 ER -