Time and Frequency Feature Selection for Seismic Events from Cotopaxi Volcano

Román Lara-Cueva, Paúl Bernal, María Gabriela Saltos, Diego S. Benítez, José Luis Rojo-Álvarez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
EditorsAlberto Sanchez, Carlos Monsalve, Zenon Chaczko
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages129-134
Number of pages6
ISBN (Electronic)9781479975884
DOIs
StatePublished - 1 Oct 2015
Externally publishedYes
EventAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015 - Quito, Pichincha, Ecuador
Duration: 14 Jul 201516 Jul 2015

Publication series

NameProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015

Conference

ConferenceAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
Country/TerritoryEcuador
CityQuito, Pichincha
Period14/07/1516/07/15

Keywords

  • Feature selection
  • Seismic signals
  • Spectrum analysis
  • Wavelet

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