Predication of Gas Emission Based on Wavelet Multi-Resolution Analysis

Bao Ming Qiao; Qiao  Kang

doi:10.4028/www.scientific.net/AMM.347-350.3662

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Predication of Gas Emission Based on Wavelet...

Predication of Gas Emission Based on Wavelet Multi-Resolution Analysis

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.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3662-3666

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3662

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Online since:

August 2013

Authors:

Bao Ming Qiao, Qiao Kang

Keywords:

AR Model, Decomposition, Gas Emission, Mallat Algorithm, Predication, Reconstruction, Time Series, Wavelet Multi-Resolution Analysis

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