Damage Sensitive Signals for the Assessment of the Conditions of Wind Turbine Rotor Blades Using Electromagnetic Waves

  • One of the most important renewable energy technologies used nowadays are wind power turbines. In this paper, we are interested in identifying the operating status of wind turbines, especially rotor blades, by means of multiphysical models. It is a state-of-the-art technology to test mechanical structures with ultrasonic-based methods. However, due to the density and the required high resolution,One of the most important renewable energy technologies used nowadays are wind power turbines. In this paper, we are interested in identifying the operating status of wind turbines, especially rotor blades, by means of multiphysical models. It is a state-of-the-art technology to test mechanical structures with ultrasonic-based methods. However, due to the density and the required high resolution, the testing is performed with high-frequency waves, which cannot penetrate the structure in depth. Therefore, there is a need to adopt techniques in the fields of multiphysical model-based inversion schemes or data-driven structural health monitoring. Before investing effort in the development of such approaches, further insights and approaches are necessary to make the techniques applicable to structures such as wind power plants (blades). Among the expected developments, further accelerations of the so-called “forward codes” for a more efficient implementation of the wave equation could be envisaged. Here, we employ electromagnetic waves for the early detection of cracks. Because in many practical situations, it is not possible to apply techniques from tomography (characterized by multiple sources and sensor pairs), we focus here on the question of whether the existence of cracks can be determined by using only one source for the sent waves.show moreshow less

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Document Type:Article
Author:Dr. rer. nat. Zainab Riyadh Shaker Al-YasiriORCiD, M.Sc. Hayder Majid Mutashar, Prof. Klaus GürlebeckGND, Prof. Tom LahmerORCiDGND
DOI (Cite-Link):https://doi.org/10.3390/infrastructures7080104Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20220831-47093Cite-Link
URL:https://www.mdpi.com/2412-3811/7/8/104
Parent Title (English):Infrastructures
Publisher:MDPI
Place of publication:Basel
Editor: GM Shafiullah
Language:English
Date of Publication (online):2022/08/28
Date of first Publication:2022/08/12
Release Date:2022/08/31
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
Volume:2022
Issue:Volume 7, Issue 8 (August 2022), article 104
Pagenumber:18
Tag:Empire XPU 8.01; Matlab; crack detection; electromagnetic waves; wind turbine rotor blades
GND Keyword:Windkraftwerk; Rotorblatt; Elektrostatische Welle; MATLAB
Dewey Decimal Classification:500 Naturwissenschaften und Mathematik
BKL-Classification:31 Mathematik
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)