主催: 一般社団法人 日本機械学会
会議名: 第30回交通・物流部門大会
開催日: 2021/12/01 - 2021/12/03
This report describes the results of examining a method for detecting track fault from train running sound data. Specifically, we installed a microphone under the floor of the car to record the running sound of the train. Then, using this running sound data, we were able to construct an algorithm that can discriminate between a normal state and an abnormal state of the track. However, this is the case for some tracks, and it turns out that there are some challenges to using it on various tracks.