In order to solve the problems of large-scale factory workshop, such as large number of motors, changeable working conditions of motor bearings, frequent faults and difficulties in diagnosis, a distributed motor bearing health management system based on embedded edge and cloud platform is designed. This system uses Raspberry Pi and STM32 to build a low-cost embedded edge motor condition monitoring platform, and deploys the lightweight bearing fault diagnosis algorithm in it, and then uses the Internet of things technology to connect the edge end with the remote server cloud platform to make web pages to realize motor bearing fault diagnosis and motor running status monitoring. The test results show that the system can effectively realize the health management of the motor and facilitate the maintenance and management of the motor.