Prediction of the Remaining Useful Life of a Two-Degree-of-Freedom Robot Based on a Digital Twin Model
Prediction of the Remaining Useful Life of a Two-Degree-of-Freedom Robot Based on a Digital Twin Model
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04.Thuy-Nhat-PdM.mp4Abstract
Abstract
A proposed method for predictive maintenance (PdM) and remaining useful life (RUL) estimation for a robot arm based on sensor data and a digital twin. Parameters from the physical model are identified using the recursive least squares (RLS) method and periodically updated to the virtual model. Subsequently, performance degradation is simulated on MATLAB/Simulink to estimate the RUL. The method is validated through both experimental and simulation-based approaches.
Keywords
Keywords
Predictive Maintenance, Remaining Useful Life, Degradation, Recursive Least Square, Robot Arm, 2-DOF Manipulator.
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