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

DOI

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.

Copyright

© 2017, 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  - 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  - 10.2991/ceie-16.2017.58
ID  - Xing2016/10
ER  -