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JDR Vol.15 No.3 pp. 353-359
(2020)
doi: 10.20965/jdr.2020.p0353

Paper:

Condition Monitoring of Yangon Circular Railway and Yangon–Mandalay Railway Based on Car-Body Acceleration Response Using a Portable Device

Hein Thura Aung*,†, Kazuki Inoue**, Sao Hone Pha***, and Wataru Takeuchi**

*Department of Electronic Engineering, Yangon Technological University
Gyo Gone, Insein, Yangon 11011, Myanmar

Corresponding author

**Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

***Remote Sensing and GIS Research Center, Yangon Technological University, Yangon, Myanmar

Received:
July 31, 2019
Accepted:
March 1, 2020
Published:
March 30, 2020
Keywords:
railway track, onboard sensor measurement, cabin vibration, smart phone
Abstract

The population of Yangon has increased more than two times in the last 40 years and will reach 9.5 million by 2035. Owing to changes in car import policies, the number of cars in Yangon has increased from 3.6 million to 6.3 million in 5 years. This causes severe traffic congestion, resulting in social, economic, and environmental impacts. Rail transportation is one solution to this problem, but regular maintenance of railway tracks is necessary. In this study, onboard sensor measurement and satellite image analysis are used to monitor rail track conditions for the early detection of damage. The accelerometer in a smartphone is placed against the car body to measure the vertical and lateral acceleration. The smartphone vibrates as the cabin vibrates when the train passes irregular rail track sections. Phased-array-type L-band synthetic aperture radar images are analyzed using the interferometric technique to detect rail track irregularities. Thus, the rail track conditions can be estimated effectively.

Cite this article as:
H. Aung, K. Inoue, S. Pha, and W. Takeuchi, “Condition Monitoring of Yangon Circular Railway and Yangon–Mandalay Railway Based on Car-Body Acceleration Response Using a Portable Device,” J. Disaster Res., Vol.15, No.3, pp. 353-359, 2020.
Data files:
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Last updated on Nov. 27, 2020