Predication of Gas Emission Based on Wavelet Multi-resolution Analysis
- 10.2991/isccca.2013.29How to use a DOI?
- wavelet multi-resolution analysis, gas emission, time series, AR model, Mallat algorithm, Predication, decomposition, reconstruction
Gas emission is basically non-stationary time series, Based on this view, wavelet multi-resolution analysis was applied to the predication of gas emission. Firstly, the gas emission data was decomposed by wavelet multi-resolution analysis. Secondly, the single branch reconstruction of each layer was predicted by establishing AR forecasting model. Synthesized all of the results from every layers, the forecasting result was obtained. The simulation showed that predication for mine gas emission with the method of this paper has much higher accuracy than AR model forecasting model.
- © 2013, 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 - Baoming Qiao AU - Qiao Kang PY - 2013/02 DA - 2013/02 TI - Predication of Gas Emission Based on Wavelet Multi-resolution Analysis BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013) PB - Atlantis Press SP - 115 EP - 118 SN - 1951-6851 UR - https://doi.org/10.2991/isccca.2013.29 DO - 10.2991/isccca.2013.29 ID - Qiao2013/02 ER -