Browse > Article
http://dx.doi.org/10.5370/KIEE.2018.67.7.884

Automatic Seismic P-wave Detection Algorithm Using Variations of Impact Momentum  

Choi, Hun (Dept. of Electronic Engineering, Dongeui University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.67, no.7, 2018 , pp. 884-891 More about this Journal
Abstract
In this paper, we propose an automatic earthquake P-wave detection algorithm based on the variations of the impact momentum derived from the seismic acceleration signals. The amount of change in the impact momentum induced by the acceleration refers to the influence of buildings or facilities on the earthquake, The proposed algorithm can effectively detect the seismic P-wave by simultaneously considering the amplitude and the frequency change of the seismic wave when the earthquake occurs. Computer simulations using the observed seismic signals were performed to evaluate the validity of the induced impact momentum variation and the superiority of the proposed algorithm.
Keywords
Earthquake; EEWS; P-wave detection; Jerk; Impact momentum;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Aschau and A. N. Kuppers, "Early Warning Systems for Natural Disaster Reduction", Springer, 2003.
2 Y. M. Wu and H. Kanamori, "Development of an earthquake early warning system using real-time strong motion signals", Journal of Sensors, vol. 8, pp. 1-9, 2008.   DOI
3 E. Akhouayri, D. Agliz, M. Fadel, and A. Ait Ouahman, "Automatic detection and indexation of seismic events", AMSE Periodicals, Advances in Modeling and Analysis. S. C, vol. 56, no. 3, pp. 59-67, 2001.
4 R. V. Allen, "Automatic rarthquake recognition and timing from single trace", Bull. Seismol. Soc. Am., vol. 68, no. 5, pp. 1521-1532, Feb. 1978.
5 J. Wang and T. Teng, "Artificial neural network-based seismic detector", Bull. Seismol. Soc. Am., vol. 85, no. 1, pp. 308-319, Feb. 1995.
6 L. Kuperkoch, T. Meier, J. Lee, and W. Friederich, "Automated determination of P-phase arrival times at regional and local distances using higher order statistics", Geophysical Journal International, vol. 181(2), pp. 1159-1170, May 2010.   DOI
7 S. Gentili and A. Michelini, "Automatic picking of P and S phases using a neural tree", Journal of Seismology, vol. 10(1), pp. 39-63, Jan. 2006.   DOI
8 A. G. Hafez, M.T.A. Khan, and T. Kohda, "Clear P-wave arrival of weak events and automatic onset determination using wavelet filter banks", Digital Signal Processing, Elsevier, vol 20(1), pp. 715-723, May 2010.   DOI
9 C. Panagiotakis, E. Kokinou, and F. Vallianatos, "Automatic P-phase picking based on local-maxima distribution", IEEE Trans. on Geoscience and Remote Sensing, vol. 46, no. 8, pp. 2280-2287, Aug. 2008.   DOI
10 K. M. Taylor, M.J. Procopio, C.J. Young, and F.G. Meyer, "Estimation of arrival times from seismic waves: a manifold-based approach", Geophysical Journal International, vol. 185(1), pp. 435-452, Feb. 2011.   DOI
11 H. Choi, "Earthquake Event Auto Detection Algorithm using Accumulated Time-Frequency Changes and Variable Threshold," Journal of The Korean Institute of Electrical Engineers, vol. 61, no. 8, pp. 1179-1185, Aug. 2012.   DOI