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Development and Engineering Application of Fault Early Warning Model for Large Hydropower Turbine Based on Principal Component Analysis and Long Short-Term Memory Network
Title of Paper:Development and Engineering Application of Fault Early Warning Model for Large Hydropower Turbine Based on Principal Component Analysis and Long Short-Term Memory Network
Date of Publication:2025-10-24
Journal:IEEE SENSORS JOURNAL
Volume:25
Issue:16
Page Number:30470-30483
ISSN No.:1530-437X
Key Words:Fault Early Warning; Large Hydro-Turbine Units; Long Short-Term Memory (LSTM); Principal Component Analysis (PCA)