Title: Development of Health Monitoring and Diagnostic Technology for CANDU Reactor Fuel Channels Based on Machine Learning

Host: AINetwork

Desc: The project involves the development of a health monitoring and diagnostic technology specifically designed for CANDU reactor fuel channels, utilizing machine learning. This innovative technology aims to enhance the safety and efficiency of nuclear reactors by providing real-time analysis and predictive maintenance capabilities. By integrating machine learning algorithms, the system can accurately detect anomalies, predict potential failures, and suggest preventive measures. This proactive approach not only ensures the optimal functioning of the reactor but also significantly reduces the risk of unplanned downtimes and extends the lifespan of the fuel channels.