MEMS-based seismic intensity instrument for earthquake early warning
by Wei Ding; Chengwang Liao; Hao Wang
International Journal of Computational Science and Engineering (IJCSE), Vol. 15, No. 1/2, 2017

Abstract: Micro-electro-mechanical systems (MEMS)-based tri-axial seismometer can be employed to design intensity instrument and construct early warning network. Using average period τc and peak amplitude of displacement Pd methods, the estimation relationships between seismometer and magnitude can be calculated. This work outlines the algorithm and first-hand experience using low-cost MEMS-based seismometer in seismic intensity instrument. τc and Pd methods are employed to calculate magnitude estimation and STA/LTA trigger algorithm is used to identify seismic event. A set of simulated earthquake wave experiments on a horizontal vibration table are used to testify the ability of P-wave identification. The results show that the accuracy of P-wave identification and seismic intensity judgement is over 95%, which proves the usability of improving implementations for the MEMS-based seismometer in the earthquake early warning application.

Online publication date: Mon, 21-Aug-2017

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