A research paper with Jannik Henkmann (Goethe University Frankfurt) and Dr. Vittorio Memmolo (University of Naples Federico II, Italy) on tiny machine learning for ultrasonic structural health monitoring has been accepted for publication in Sensors. Abstract: This work leverages ultrasonic guided waves (UGWs) to detect and localize damage in structures using lightweight Artificial Intelligence (AI)...Read More

A joint paper, coordinated by Anastasiia Volovikova from KIT, has been accepted for publication in the Research and Review Journal of Nondestructive Testing (ReJNDT). The authors work together in the DFG network “Towards a holistic quality assessment for guided wave-based SHM”. Abstract: The continuous monitoring of structural integrity is crucial, as imperceptible damage may appear...Read More

The project “Acoustic population monitoring in remote locations using edge AI and satellite communication (SAT-AND-SOUND)” has been selected for funding. The project partners are: IMST GmbH (Kamp-Lintfort) University of Siegen (Siegen) Funding number: 16GM105902Read More

A joint paper with Oliver Schackmann (Goethe University Frankfurt) and Dr. Vittorio Memmolo (University of Naples) has been accepted for publication in Smart Materials and Structures. Abstract: This work presents a novel unified Convolutional Neural Network approach where broadband ultrasonic guided waves signals are processed in such a way that damage is first detected (binary...Read More

The photo shows the HotWalls consortium during a project meeting in Marl Chemical Park. The project partners are: Evonik Operations GmbH (Essen, Coordinator) Arvos GmbH (Kassel) KT-Systems GmbH (Euerbach) Fraunhofer IKTS (Dresden) University of Siegen (Siegen)Read More

https://www.uni-siegen.de/start/news/forschungsnews/1037821.html Image source: ZSWRead More