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[HTML][HTML] Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis
Induction motors are essential components in industry due to their efficiency and cost-
effectiveness. This study presents an innovative methodology for automatic fault detection by …
effectiveness. This study presents an innovative methodology for automatic fault detection by …
Based on spatial Mahalanobis distance: A novel zero-shot learning method for compound fault identification and decoupling
M Jiang, Y ** element bearings are the most lying components to faults in
electrical machines. From both operational and economic perspectives, efficient monitoring …
electrical machines. From both operational and economic perspectives, efficient monitoring …
Insulation Temperature Monitoring of Distribution Cables Based on Gaussian Process Classifier with Stationary Wavelet Transform
G Wu, K Zheng, L Xu - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In today's era, with global energy demands escalating rapidly, reliable and efficient power
distribution systems have become essential. Several methods have been proposed to …
distribution systems have become essential. Several methods have been proposed to …