Time and Frequency Feature Selection for Seismic Events from Cotopaxi Volcano

This paper presents a study to select the most relevant features for classification of seismic signals obtained from the Cotopaxi Volcano, in the time and frequency domain. Fourier and Wavelet transform were used in the analysis. A total of 79 different features were used for the study. Feature sele...

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Bibliographic Details
Published in2015 Asia-Pacific Conference on Computer Aided System Engineering pp. 129 - 134
Main Authors Lara-Cueva, Roman, Bernal, Paul, Saltos, Maria Gabriela, Benitez, Diego S., Rojo-Alvarez, Jose Luis
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2015
Subjects
Earthquakes
Feature extraction
Feature selection
Indexes
Seismic signals
Spectrum analysis
Time-frequency analysis
Volcanoes
Wavelet
Wavelet transforms
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DOI10.1109/APCASE.2015.30

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Summary:This paper presents a study to select the most relevant features for classification of seismic signals obtained from the Cotopaxi Volcano, in the time and frequency domain. Fourier and Wavelet transform were used in the analysis. A total of 79 different features were used for the study. Feature selection was performed by CART by using Gini, Standard Deviation, Twoing Rule, Gram-Schmidt, and Interaction Information as relevant indices. A comparative analysis of the features obtained indicates that the most relevant features for the identification of seismic events are: Maximum Peak Value in the 10-20 Hz range, High Frequency in WT A6 and the Percentage of Energy in the D2 and D5 WT levels.
DOI:10.1109/APCASE.2015.30