@article{ref1,
title="Comparison of signal-analysis techniques for seismic detection system for high-speed train data: effect of bridge structures",
journal="Sensors (Basel)",
year="2020",
author="Yoo, Mintaek and Moon, Jae Sang",
volume="20",
number="23",
pages="e6805-e6805",
abstract="This study evaluated the earthquake warning system for high-speed trains using  onboard accelerometers instead of expensive seismometers. Onboard accelerometers  measure the train data additional to the earthquake acceleration. The measured  earthquake acceleration could also be modified by railroad-supporting bridges. To  develop the data analysis system, the virtual onboard data sets are synthesized  using the train acceleration data and earthquake data. Not only the earthquake  acceleration data but also the earthquake responses of bridges are used for the  virtual onboard data synthesis. For the analysis of synthesized data, the short-time  Fourier Transform (STFT), the wavelet transform (WT), and Wigner-Ville Distribution  (WVD) methods have been compared. <br><br>RESULTS show that WVD provides the best detection  performance while the computational costs are large.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s20236805",
url="http://dx.doi.org/10.3390/s20236805"
}