Fault Prediction and Wear Simulation of Diesel Generator Sets Based on Digital Twin Technology
摘要
Based on the theory of digital twinning, an accurate mathematical model of digital twinning is established to improve the safety and reliability of nuclear power plant. The results show that the intelligent diagnosis method based on fuzzy neural network can accurately predict the wear and failure of key components, thus effectively improving the preventive maintenance level and power generation efficiency.