DEVELOPED ALGORITHMS OF SEISMIC PARAMETERS ESTIMATION AND NOISE DISCRIMINATION FOR EARTHQUAKE EARLY WARNING

Abstract

 Earthquake early warning systems are working to stop running trains immediately when earthquakes, that are large enough to affect the safety of railway facilities and running trains, occur. These systems have worked effectively in the past large earthquakes. On the other hand, it is expected that the performance will be improved to enhance the safety and reliability. The seismographs utilized for earthquake early warning systems have important functions to estimate the seismic parameters for issuing the warning and to discriminate seismic motion from other vibration. In this paper, we present the developed algorithms for actual use and the results of validation between the current methods and the proposed ones.