Abstract: Due to the special rail transit transportation environment and conditions,bearing fault prediction faces problematic factors such as non-stationarity and non-linearity,which makes bearing fault diagnosis and lifespan prediction difficult to realize. In recent years,with the constant emerging of artificial intelligence technology research and patents on bearing fault analysis and lifespan prediction,the technical innovation and maturity are advancing. Consequently,intelligent bearing fault diagnosis and lifespan prediction based on Internet of Things and data-driven technology will undergo rapid development and application in rail transit equipment.