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Proceedings of

2nd International Conference on Advances In Computing, Control And Networking ACCN 2015

"CLASSIFICATION OF LASER INTERFEROMETER SEISMIC SIGNAL DATA BASED ON K-MEANS CLUSTERING"

DONGSUN CHOI EUNHWAN OH KWANHO YOU WOORAM LEE
DOI
10.15224/978-1-63248-073-6-21
Pages
102 - 105
Authors
4
ISBN
978-1-63248-073-6

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.”

Keywords: Body-wave amplitude, K-means clustering, Laser Interferometer, Seismic signal, Surface-wave amplitude

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