B-PHM fault prediction and health management system comprehensively collects monitoring parameters, electrical parameters, environmental parameters, status parameters, video data, factory data and maintenance data at key positions of power supply equipment through online monitoring, system access and manual input;

The AI algorithm is used to clean the data of power supply equipment state parameters and train the intelligent prediction model. At the same time, the trend of relevant temperature and vibration is predicted, and the video data is automatically identified and analyzed.

The intelligent model is applied to realize the functions of on-line monitoring, condition evaluation and life prediction of key positions of equipment, and provide corresponding maintenance strategies for each equipment.