Skip to main content

Current Publication

TEEMSC – Trainable Energy Efficient Machine Diagnosis using Singular Values and Canonical Crosscorrelation

Rick Pandey1. Sebastian Uziel1. Tino Hutschenreuther1. Silvia Krug1,2.

IEEE International Workshop on Metrology for Industry 4.0 and IoT, Florence, Italy, May 29-31, 2024, DOI: doi.org/10.1109/MetroInd4.0IoT61288.2024.10584173

1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, Ehrenbergstraße 27, 98693 Ilmenau, Germany. 2Department of Computer and Electrical Engineering, Mid Sweden University, Holmgatan 10, 851 70 Sundsvall, Sweden.

Related content

Close-up of a milling machine to which an approximately 2 x 2 cm small wireless circuit board with sensors and an illuminated LED is held.

Project

HoLoDEC

IMMS researches ultra-low-power architectures (ULP) and circuit concepts as well as energy-efficient edge-AI systems with overall system energy modeling


Back