IEEE

Sensorless Detection of Unbalanced Loads in Embedded Motor Control via ML-Trained Pattern Matching on Speed Signals

Abstract: This work is presented as a case study, demonstrating the practical feasibility of deploying machine learning models in constrained embedded motor control systems. We present a sensorless ...
Frontiers

Medial unicompartmental knee arthroplasty wear prediction using a total knee joint finite element model

Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and ...
GitHub

The Loads Kernel Software allows for the calculation of quasi-steady and dynamic maneuver loads, unsteady gust loads in the time and frequency domain as well as dynamic landing ...

[1] Voß, A., “Loads Kernel User Guide,” Institut für Aeroelastik, Deutsches Zentrum für Luft- und Raumfahrt, Göttingen, Germany, Technical Report DLR-IB-AE-GO ...
IEEE

Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting

Abstract: Microgrids, powered by distributed energy resources, are gaining traction as decentralized power systems. However, optimizing microgrid operation poses challenges due to intermittent ...