A wind hazard warning system for safe and efficient operation of high-speed trains

2021 ◽  
Vol 132 ◽  
pp. 103952
Author(s):  
Hongye Gou ◽  
Xuanying Chen ◽  
Yi Bao
Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6805
Author(s):  
Mintaek Yoo ◽  
Jae Sang Moon

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. Results show that WVD provides the best detection performance while the computational costs are large.


2020 ◽  
Vol 140 (5) ◽  
pp. 349-355
Author(s):  
Hirokazu Kato ◽  
Kenji Sato

2016 ◽  
pp. 7-8
Author(s):  
Eric Nyberg ◽  
Jian Peng ◽  
Neale R. Neelameggham

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