Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Algorithm of Power Supply Disturbance Filtering for Coal Mine Based on FRFT

Authors
Likun Xing, Xiuling Niu, Xin Li
Corresponding Author
Likun Xing
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.58How to use a DOI?
Keywords
FRFT; Transient Disturbance; Coal Mine Power Supply; Optimal Filtering
Abstract
The environment of electricity for coal mine is very special, if there is something wrong with the power quality, it will cause great harm. The traditional Fourier transform algorithm makes the signal and noise overlap in the frequency domain and it has poor filtering performance when filtering in transient power quality disturbance signal. In order to solve this problem, the optimal filtering algorithm based on fractional Fourier transform (FRFT) is proposed. The algorithm adopts the optimal filtering principle under a minimum mean square error (MSE) criterion, using the obtained optimal order p to filter, analyzing the filtered waveform and reconstructing the original signal. Through simulation results, it can be seen that FRFT has a better filtering effect and stronger self-adaptability in the treatment of coal mine power supply transient signal.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.58How 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  - Likun Xing
AU  - Xiuling Niu
AU  - Xin Li
PY  - 2016/10
DA  - 2016/10
TI  - Algorithm of Power Supply Disturbance Filtering for Coal Mine Based on FRFT
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 461
EP  - 467
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.58
DO  - https://doi.org/10.2991/ceie-16.2017.58
ID  - Xing2016/10
ER  -