Journal of Electrical Engineering and Automation

In the field of hydropower generation, the continuous and stable operation of equipment has a profound impact on power supply reliability and economic benefits. Intelligent maintenance management systems have emerged to meet this need. They integrate various cutting-edge technologies, using sensor networks to collect comprehensive operational data from equipment. By leveraging big data and smart algorithms for precise analysis, they enable real-time monitoring, early fault warnings, intelligent maintenance planning, optimized resource allocation, and enhanced remote collaboration. This approach comprehensively reduces downtime risks and minimizes downtime duration, empowering the efficient operation of the hydropower industry and promoting stable energy supply.

Intelligent; Hydroelectric power generation; Equipment maintenance; Downtime; Predictive maintenance