Harbin, 150001
China
Harbin Engineering University
Electric gate valve, Fault diagnosis, fault degree evaluation, CEEMDAN, Bi-LSTM
Nuclear power plant, rotating machinery, fault diagnosis, deep residual neural network, multi-sensor
Fault-tolerant control, Sensor data, Signal reconstruction, Nuclear power plant, LSTM
Natural circulation steam generator, Heat transfer tube rupture, Fault severity assessment, Pseudo bond graph, RFA
Steam generator tubes, Crack propagation, Digital twin, Particle Filter, Reinforcement learning
Nuclear power plant, electric gate valve, three-phase unbalanced fault, damaged packing seal fault, internal leakage fault
Hybrid prediction model, EWT-GRU, Pump-type machinery, Multi-step prediction, Sliding time window technique
Water level control, Multi-Agent, Deep learning, Reinforcement learning, MATD3, Parameter tuning
