Digital twin-driven attention-guided convolutional networks for intelligent fault diagnosis across different domains
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Published online on July 31, 2024
Abstract
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Ahead of Print.
Fault diagnosis of rolling bearings is crucial in industries to ensure the reliability, safety, and economic feasibility of mechanical systems. Conventional data-driven methods for fault diagnosis depend on pre-existing datasets containing various failure ...
Fault diagnosis of rolling bearings is crucial in industries to ensure the reliability, safety, and economic feasibility of mechanical systems. Conventional data-driven methods for fault diagnosis depend on pre-existing datasets containing various failure ...