In collaboration with Dr.-Ing Christian Kexel and Sercan Alipek a novel data analysis pipeline for wind turbine blade monitoring with tower-mounted radar has been developed and published in Remote Sensing. Abstract: Wind turbines are critical infrastructure whose economical deployment benefits from blade monitoring. Tower-radar remote sensing generates radargrams from a mast-bound active sensor for this...Read More

Our recent developments on performance assessment of structrural health monitoring systems have been published in Sensors journal. This work, coordinated by Manuel Rao, is a collaboration between the University of Naples and the University of Siegen. Abstract: Radar technology in the microwave and millimeter-wave frequency range are subject of current research for structural health monitoring...Read More

A joint work between the University of Siegen, coordinated by Octavio A. Marquez Reyes, and the University of Bologna has been published in the renowned Structural Health Monitoring journal. Abstract: This work presents an experimental investigation of a stand alone directional structural health monitoring (SHM) system based on a frequency-steerable acoustic transducer (FSAT) operating in...Read More

The project “Frequency Steerable Acoustic Transducers in DuraAct technology for Non-Destructive Testing and Structural Health Monitoring of Composite Structures (FrADura)” has been selected for funding. The project partners are: University of Siegen (Coordination, Dr.-Ing. J. Moll) INVENT GmbH Associated partners: Gdańsk University of Technology (Dr. Beata Zima, Gdansk, Poland) us4us sp. z o.o. (Warsaw, Poland)...Read More

The project “Development and testing of a reliable grout monitoring system for offshore wind turbines based on edge computing technologies (GROUTEDGE)” has been selected for funding. The project partners are: SWIFT GmbH (Reinheim, Coordinator) IMST GmbH (Kamp-Lintfort) Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit LBF (Darmstadt) University of Siegen (Siegen) WindMW Service GmbH (Bremerhaven, associated) Funding number:...Read More

I was invited to report about our recent radar-based wind energy activities in the DGZfP expert committee Structural Health Monitoring. The presentation was divided into three sections: Grout-Radar, Tower-Radar and In-Blade Radar. A big thanks goes out to my working group, the numerous cooperation partners, and the funding agencies. Reference Grout-Radar: Maetz, T.; Kappel, J.;...Read More

The following article on explainable machine learning under the leadership of Sercan Alipek has been accepted for publication in Sensors journal. Abstract: This paper evaluates a data-driven classification approach of operational wind turbine blades based on consecutive tower-radar measurements that are each compressed in a two-dimensional slow-time to range representation (radargram). Like many real-world machine...Read More

A journal article demonstrating recent developments on a reversible damage model for the qualification of radar-based SHM systems has been accepted for publication in PIER C. Abstract: In this work, a delamination model for millimeter-wave inspections of glass fiber reinforced polymer (GFRP) is proposed that replicates the scattering characteristics of a real delamination. The model...Read More

A joint proposal with Prof. Dr. Steffen Freitag (KIT, Karlsruhe) and supported by Dr. Vittorio Memmolo (University of Naples, Italy) has been selected for funding. Project title: Quantification and minimization of uncertainty for guided wave-based structural health monitoring with artificial neural network approaches Project number: 566880366 Project description: The focus of the research project is...Read More

Dr. Vittorio Memmolo (University of Naples) and I proposed the following special issue in Sensors journal: “Advancements in the Use of Distributed Sensing and Edge/Cloud Diagnostics in Structural Health Monitoring Systems”. More information can be found here: https://www.mdpi.com/journal/sensors/special_issues/A2A0XI301Q We are looking forward to your contribution to this special issue!Read More