Abstract
To enhance the safety of Shinkansen trains, a derailment detection function was developed using the vertical acceleration of the bogie frame obtained from existing bogie monitoring devices. First, to obtain basic data for determining derailments, derailment simulation tests were conducted using an actual bogie, and the acceleration levels occurring during normal operation were verified. As an extension of our previous conference paper, this study also analyzes the magnitude and exceedance frequency of the vertical acceleration measured in two additional trainsets to examine differences due to individual vehicle variations. Next, based on the obtained data and verification results, three detection algorithms were considered to distinguish between normal operation and derailment, with the aim of optimizing detection time and reducing the risk of missed derailment detection. Finally, to evaluate the effectiveness of the proposed detection algorithms and verify the threshold values, monitoring runs have been conducted with a vehicle equipped with software implementing the algorithms.
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