Download "Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends" ECOMAI Talk: Watch the Study Presentation and its impact on Albayraks Project Goals Predictive maintenance (PdM) is a policy...
“AI-based condition monitoring for PdM approach solution will add value to the ALPSD-1000 PSD system design and positively affect its competitiveness in the market. We support the doctoral thesis of one of our employees in accordance with the scope of the project. For...
Enhance the electric motor drive systems with an embedded AI system running on a specialised AI hardware platform: this is the heart of the PENTA project ECOMAI. Our research activities are focusing on the efficiency and lifetime of electric motors which are typically...
ECOMAI: Ecological Motor Control and Predictive Maintenance using AI Development of a toolchain for automated code generation of control/regulation of permanently excited synchronous machines with neural networks We are very pleased to present the latest research from...
Interview with Daniel Müller-Gritschneder from TU Munich . The PENTA project ECOMAI started with a master thesis led by INFINEON, a world leader in semiconductor solutions. The thesis had one focus: “How can the control of an electrical motor be significantly...
