A Novel Methodology of AC Signal Detection Using Wavelet

DOI

10.2991/icecee-15.2015.43How to use a DOI?

Keywords

Power System; Wavelet Transform; Neural Network; Novel Approach

Abstract

In this paper, we propose a novel AC signal detection approach to DC power system. Combining with state-of-the-art detection circuit and WNN(wavelet based neural network). Aiming at handling with the travelling wave and fault signal cannot be detected accurately with the uncertainty of signal velocity when AC signal injected. In which, the injected AC signal in DC power system is detected via the current transformers and the voltage transformers distributed in different current loops. The acquire signal acts as the original fault signal and the sub-band energy function of wavelet packet decomposition is used as secondary characteristic and the minimum distance is used as the criterion in WNN method. Experimental analysis is conducted to show the effectiveness an robustness of our approach. The final conclusion shows that detecting AC signals in DC power system is possible with our propose method.

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/).

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TY  - CONF
AU  - Yingli Shu
PY  - 2015/06
DA  - 2015/06
TI  - A Novel Methodology of AC Signal Detection Using Wavelet
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 191
EP  - 194
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.43
DO  - 10.2991/icecee-15.2015.43
ID  - Shu2015/06
ER  -