Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

Predication of Gas Emission Based on Wavelet Multi-resolution Analysis

Authors
Baoming Qiao, Qiao Kang
Corresponding Author
Baoming Qiao
Available Online February 2013.
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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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
10.2991/isccca.2013.29
ISSN
1951-6851
DOI
10.2991/isccca.2013.29How to use a DOI?
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/).

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  -