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Open switch fault diagnosis of cascaded H-bridge 5-level inverter using deep learning
Frontiers
In this study, we propose a deep learning-based approach for diagnosing open switch faults in CHB-5LIs.
3 months ago
ESG guidance and artificial intelligence support for power systems analytics in the energy industry
Nature
In order to increase the precision and effectiveness of power system analysis and fault diagnosis, this study aims to assess the power...
4 months ago
Heat-vision based drone surveillance augmented by deep learning for critical industrial monitoring
Nature
This study examines the application of drone-assisted infrared (IR) imaging with vision grayscale imaging and deep learning for enhanced abnormal detection in...
9 months ago
Appraising machine learning classifiers for discriminating rotor condition in 50W–12V operational wind turbine for maximizing wind energy production through feature extraction and selection process
Frontiers
This research investigates the use of vibration signals to anticipate deterioration. The machine learning (ML) method establishes a nonlinear relationship...
25 months ago
A deep learning approach for detecting drill bit failures from a small sound dataset
Nature
Monitoring the conditions of machines is vital in the manufacturing industry. Early detection of faulty components in machines for stopping...
27 months ago