Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
1 Department of Civil and Environmental Engineering, Old Dominion University, Norfolk, VA, United States 2 Department of Engineering Technology, Old Dominion University, Norfolk, VA, United States ...
Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...
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