A graph neural network-based bearing fault detection method
Abstract Bearings are very important components in mechanical equipment, and detecting bearing failures helps ensure healthy operation of mechanical equipment and can prevent catastrophic accidents.Most of the well-established detection Custom Tote Bag methods do not take into account the correlation between signals and are difficult to accurately