Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

A Novel Methodology of AC Signal Detection Using Wavelet

Authors
Yingli Shu
Corresponding Author
Yingli Shu
Available Online June 2015.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.43How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yingli Shu
PY  - 2015/06
DA  - 2015/06
TI  - A Novel Methodology of AC Signal Detection Using Wavelet
BT  - 2015 2nd 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  - https://doi.org/10.2991/icecee-15.2015.43
ID  - Shu2015/06
ER  -