Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

Noisy Voltage Sag Signal Analysis Based on Wavelet Transformation

Authors
Min Cao, Shilin Li, Qingchan Liu
Corresponding Author
Min Cao
Available Online October 2015.
DOI
https://doi.org/10.2991/icmii-15.2015.187How to use a DOI?
Keywords
Wavelet Transformation; Voltage Sag; FIR filter; soft-threshold de-noising.
Abstract

In order to detect the starting and recovery points of noisy voltage sag signal, this paper proposed the wavelet soft threshold method for denoising and the wavelet transform for detecting the singular points. Comparing to the FIR filtering method, the wavelet soft threshold method can filter out the high-frequency and low-frequency noise component simultaneously. The simulation results show that the wavelet soft threshold method achieves a higher signal-to-noise ratio (SNR) and smaller root mean square error (RMSE). After denoising processing, the wavelet method can identify the starting and recovery points of sag signal accurately.

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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Volume Title
Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmii-15.2015.187How to use a DOI?
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  - Min Cao
AU  - Shilin Li
AU  - Qingchan Liu
PY  - 2015/10
DA  - 2015/10
TI  - Noisy Voltage Sag Signal Analysis Based on Wavelet Transformation
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 1055
EP  - 1059
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.187
DO  - https://doi.org/10.2991/icmii-15.2015.187
ID  - Cao2015/10
ER  -