Predication of Gas Emission Based on Wavelet Multi-resolution Analysis

DOI

10.2991/isccca.2013.29How to use a DOI?

Keywords

wavelet multi-resolution analysis, gas emission, time series, AR model, Mallat algorithm, Predication, decomposition, reconstruction

Abstract

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.

Copyright

© 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/).

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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  -