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Current Publication

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

Rick Pandey1, Sebastian Uziel1, Tino Hutschenreuther1, Silvia Krug1,2
2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT), , Florence, Italy, pp. 292-297, DOI: doi.org/10.1109/MetroInd4.0IoT61288.2024.10584173
1IMMS Institut für Mikroelekronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH), Ehrenbergstraße 27, 98693 Ilmenau, Germany, 2Mid Sweden University, Department of Computer and Electrical Engineering, 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

Award

iENA bronze medal for "Longer life for wireless/radio sensors – Self-learning sensor system for industrial maintenance"

Rick Pandey

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