Host: The Japan Society of Mechanical Engineers
Name : Dynamics and Design Conference 2018
Date : August 28, 2018 - August 31, 2018
We are developing condition monitoring methods aiming at preventing malfunctions of traction motor bearings during operation and extending the maintenance cycle. In order to verify an abnormality detection method combining vibration octave band analysis and machine learning, a rotation test was carried out by incorporating an artificial defect bearing in a traction motor. As a result, it was shown that abnormality was detected in high frequency vibration of 1 kHz or more. It was also shown that an abnormality of the output side bearing was detected by a vibration sensor attached to the counter output side.
