most citedC^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction

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cs.SD2024

An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals

Zhao Wang, Xiaomeng Li, Na Li +1

This study aimed to develop a deep learning model for the classification of bearing faults in wind turbine generators from acoustic signals. A convolutional LSTM model was successf…