A closed loop methodology for robotic prognostics and diagnostics based on multi-model architecture

The applications of robotics have expanded in the industrial environment, improving the performance level of processes and the human safety. High levels of reliability and maintainability are required to satisfy the market needs, in particular when robots are integrated in production cells and assembly lines. The paper presents a framework for the evaluation of robotic system reliability aimed at monitor the remaining useful life (RUL) through the integration of FMECA (Failure Modes, Effects and Criticality Analysis), life data analysis, data driven and model based methods. This research is a part of PROGRAMs: PROGnostics based Reliability Analysis for Maintenance Scheduling, H2020-FOF-09-2017-767287. The contribution is a demonstration case study designed, developed and disseminated in the EU founded research project
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