Algorithm of Power Supply Disturbance Filtering for Coal Mine Based on FRFT
Likun Xing, Xiuling Niu, Xin Li
Available Online October 2016.
- https://doi.org/10.2991/ceie-16.2017.58How to use a DOI?
- FRFT; Transient Disturbance; Coal Mine Power Supply; Optimal Filtering
- 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.
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 -