Coupling object detection and digital twin: an algorithmic framework design for predictive maintenance of mechanical equipment
The feature interaction and closed-loop evolution mechanism established in this study optimizes the feature perception accuracy of industrial systems in non-stationary service environments, providing a quantitative algorithm solution for predictive operation and maintenance scheduling of industrial equipment.