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UKAEA-RACE-PR(25)022024
Finding optimum kinematic designs for non-standard robotic manipulators, such as those used in medical, nuclear, and space applications is challenging due to the need to adapt to complex tasks within constrained environments. This design optimization problem is multi-dimensional and non-convex, with nonlinear constraints. Ensuring reachability, …
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UKAEA-RACE-PR(23)032022
Calibration data for condition monitoring (CM), often originates from equipment running in different environment conditions, and operational settings. Due to the uneven distribution of the data, the performance of traditional machine learning approaches for CM can easily be skewed in favour of operating conditions with larger data distributions.…
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UKAEA-RACE-PR(20)012020
The DEMO remote maintenance system (RMS) will have a significant role in keeping the power plant operational, and therefore, would have a large impact on its economic feasibility. The identification of impending mechanical failures of the RMS equipment during active maintenance operations is crucial if unscheduled and or unplanned recovery and resc…
Showing 1 - 3 of 3 UKAEA Paper Results
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