Classification of Laser Interferometer Seismic Signal Data based on K-means Clustering

DONGSUN, CHOI and EUNHWAN, OH and KWANHO, YOU and WOORAM, LEE (2015) Classification of Laser Interferometer Seismic Signal Data based on K-means Clustering. In: Second International Conference on Advances In Computing, Control And Networking - ACCN 2015, 28-29 August, 2015, Bangkok, Thailand.

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Abstract

The mainly used devices to detect earthquakes are velocimeters and accelerometers. However, it is necessary to detect seismic waves accurately in micro-seismic wave measurement. A heterodyne laser interferometer is a high resolution detection device. Therefore, the laser interferometer is used as a seismometer. In micro-seismic signal analysis, it is required to discriminate earthquakes from explosions since micro-seismic waves have small magnitudes. To classify seismic waves, the body-wave amplitude ( p A ) and the surface-wave amplitude ( s A ) data are used. K-means clustering is implemented and then earthquake and explosion events are discriminated by using these data.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Body-wave amplitude, K-means clustering, Laser Interferometer, Seismic signal, Surface-wave amplitude
Depositing User: Mr. John Steve
Date Deposited: 27 Apr 2019 12:27
Last Modified: 27 Apr 2019 12:27
URI: http://publications.theired.org/id/eprint/1648

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