Kunming Yunnan China
Kunming
China
Kunming University of Science and Technology
hydro-turbine, fault diagnosis, CNN-LSTM, Bayesian optimization, Deep Learning
Twin compensation, Tri-feature extraction, Dung Beetle Optimizer, Combined model, PV power prediction
Twin compensation, Triple feature extraction, Dung Beetle Optimizer, Combined model, PV power prediction
Twin compensation； Tri-feature extraction； Dung Beetle Optimizer； Combined model； PV power prediction
Keywords: Hydropower Units, Signal Feature Extraction, State Recognition, Entropy Index
feedback linearization, robust H2/H∞ control, Hydro-turbine governing system, Optimization
hydro-turbine, acoustic vibration, Sediment wear, EEMD, Wavelet threshold denoising
hydro-turbine, EEMD, CNN-LSTM, fault diagnosis, Deep Learning
multi-hydro-turbine governing system with sharing one penstock (MGSSP), H2/H∞ robust controller, intelligent optimization algorithm, linear matrix inequality (LMI)
Cracked blade, Power Spectral Density Transmissibility, Hydro-turbine, Operational modal
pumped storage unit；regulation system；robust control；optimization algorithm
hydraulic turbine, acoustic vibration signal denoising, ICEEMDAN-wavelet threshold, sediment spectrum
Plateau motor, The stator of the motor, Temperature distribution, Three-dimensional heat-fluid-solid coupling.
