Fault Prediction of Hydropower Station Based on CNN-LSTM-GAN with Biased Data

Fault Prediction of Hydropower Station Based on CNN-LSTM-GAN with Biased Data

Fault prediction of hydropower station is crucial for the stable operation of generator set equipment, but the traditional method struggles to deal with data with an imbalanced distribution and untrustworthiness. This paper proposes a fault detection method based on a convolutional neural network (C...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Bei Liu, Xiao Wang, Zhaoxin Zhang, Zhenjie Zhao, Xiaoming Wang, Ting Liu
स्वरूप: लेख
भाषा:अंग्रेज़ी
प्रकाशित: MDPI AG 2025-07-01
श्रृंखला:Energies
विषय:
failure prediction
hydropower station
biased data
CNN-LSTM
multi-scale feature extraction
ऑनलाइन पहुंच:https://www.mdpi.com/1996-1073/18/14/3772
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