A New Monitoring Technology for Bearing Fault Detection in High-Speed Trains

In this work, a new monitoring system is developed for bearing fault detection in high-speed trains. Firstly, data acquisition to collect vibration and other related signals wirelessly. Secondly, multiple correlation analysis (MCA) technique proposed detection. The MCA consists of the three processing steps: (1) collected signal decomposed by variational modal decomposition (VMD) formulate representative intrinsic mode functions (IMFs); (2) used process identify characteristic features analysis; (3) diagnosed examining frequency information on envelope power spectrum. effectiveness verified experimental tests corresponding different conditions.