Neural Network-Based Laser Interferometer Compensation for Seismic Signal Detection
Joint Authors
Lee, Kyunghyun
Kwon, Hyungkwan
You, Kwanho
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We propose a seismic wave detection method in the frequency domain using a heterodyne laser interferometer, which is used in ultraprecision fields as a displacement measurement device.
In seismology, it is important to accurately measure seismic waves.
To overcome the limited frequency range and low resolution of accelerometers and velocimeters and to enhance the precision of seismic data analysis, we use the heterodyne laser interferometer as a seismic detection apparatus.
We apply the data fusion algorithm with the adaptive standard deviation ratio (ς) derived from the neural network to improve the laser interferometer’s measurement precision.
Moreover, by using the interferometric characteristics, we analyze the seismic data in the frequency domain.
To determine the location of the epicenter from the body wave propagation analysis, we apply the STA/LTA algorithm to the measurement data.
The effectiveness of the proposed laser interferometric seismometer is shown through experiments to locate the precise epicenter.
American Psychological Association (APA)
Lee, Kyunghyun& Kwon, Hyungkwan& You, Kwanho. 2018. Neural Network-Based Laser Interferometer Compensation for Seismic Signal Detection. Journal of Sensors،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1201846
Modern Language Association (MLA)
Lee, Kyunghyun…[et al.]. Neural Network-Based Laser Interferometer Compensation for Seismic Signal Detection. Journal of Sensors No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1201846
American Medical Association (AMA)
Lee, Kyunghyun& Kwon, Hyungkwan& You, Kwanho. Neural Network-Based Laser Interferometer Compensation for Seismic Signal Detection. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1201846
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201846