Track fault detection from car-body acceleration

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  • 車体振動加速度を用いた軌道異常の検出

Abstract

It is essential to monitor the conditions of railway assets to ensure railway safety. Low-cost monitoring systems are developed based on on-board sensing devices and global navigation satellite system (GNSS) data, and applied to real operations in regional railway. In the system, the sensing device is installed in an in-service vehicle to measure car-body vibrations. The diagnosis is performed by evaluating the track conditions based on the measured vibration data. We proposed a time-frequency analysis methods, Hilbert-Huang Transform (HHT) and Continuous Wavelet Transform (CWT) for detecting track faults. Results showed that HHT is suitable for evaluating track condition.

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