Energy-efficient graph neural networks for predictive maintenance of interconnected rotating machinery in smart industrial environments
Predictive maintenance is essential for improving reliability and reducing downtime in smart industrial environments. However, most existing methods either ignore the interdependencies among machines or incur high computational and energy costs, which limits their deployment on edge and fog platforms. This study unique...