Pattern recognition applied to seismic signals of the Llaima volcano (Chile): An analysis of the events' features
Author
dc.contributor.author
Curilem, Millaray
Author
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Vergara, Jorge
es_CL
Author
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San Martín, César
es_CL
Author
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Fuentealba, Gustavo
es_CL
Author
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Cardona, Carlos
es_CL
Author
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Huenupan, Fernando
es_CL
Author
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Chacón, Max
es_CL
Author
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Khan, M. Salman
es_CL
Author
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Hussein, Walid
es_CL
Author
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Becerra Yoma, Néstor
es_CL
Admission date
dc.date.accessioned
2014-12-17T01:46:05Z
Available date
dc.date.available
2014-12-17T01:46:05Z
Publication date
dc.date.issued
2014
Cita de ítem
dc.identifier.citation
Journal of Volcanology and Geothermal Research 282 (2014) 134–147
en_US
Identifier
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dx.doi.org/10.1016/j.jvolgeores.2014.06.004
Identifier
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https://repositorio.uchile.cl/handle/2250/126669
General note
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Artículo de publicación ISI
en_US
Abstract
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This paper proposes a computer-based classifier to automatically identify four seismic event classes of the Llaima
volcano, one of the most active volcanoes in the Southern Andes, situated in the Araucanía Region of Chile. A
combination of features that provided good recognition performance in our previous papers concerning the
Llaima and Villarica (located 100 km south of Llaima) volcanoes is utilized in order to train the classifiers.
These features are extracted fromthe amplitude, frequency and phase of the seismic signals. Unlike the previous
workswhere fixed lengthwindows were used to obtain the seismic signals, this paper employs signals of variable
lengths that span the entire seismic event. The classifiers are implemented using support vectormachines. A confidence
analysis is also included to improve reliability of the classification. Results indicate that the features used
for recognition of the events of Villarica volcano also provide good recognition results for the Llaima volcano,
yielding classification exactitude of over 80%.