Application of a Condition Monitoring System through Vibration to Railway Vehicles in Operation

摘要

Vibration monitoring is effective for monitoring the condition of traction equipment on railway vehicles. However, since the vibration of the equipment varies depending on the running conditions of the vehicle, the external environment, etc., it may be difficult to evaluate the state of the equipment by a simple method such as using only the vibration magnitude. In this paper, we introduce condition monitoring method combining vibration octave band analysis and machine learning, and report on the analysis results of vibration data acquired on an operating train.