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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.zeige mehrzeige weniger

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  • Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

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Metadaten
Dokumentart:Artikel (Wissenschaftlicher)
Verfasserangaben:Dr. rer. nat. Zainab Riyadh Shaker Al-YasiriORCiD, M.Sc. Hayder Majid Mutashar, Prof. Klaus GürlebeckGND, Prof. Tom LahmerORCiDGND
DOI (Zitierlink):https://doi.org/10.3390/infrastructures7080104Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20220831-47093Zitierlink
URL:https://www.mdpi.com/2412-3811/7/8/104
Titel des übergeordneten Werkes (Englisch):Infrastructures
Verlag:MDPI
Verlagsort:Basel
Herausgeber: GM Shafiullah
Sprache:Englisch
Datum der Veröffentlichung (online):28.08.2022
Datum der Erstveröffentlichung:12.08.2022
Datum der Freischaltung:31.08.2022
Veröffentlichende Institution:Bauhaus-Universität Weimar
Institute und Partnereinrichtugen:Fakultät Bauingenieurwesen / Institut für Strukturmechanik (ISM)
Jahrgang:2022
Ausgabe / Heft:Volume 7, Issue 8 (August 2022), article 104
Seitenzahl:18
Freies Schlagwort / Tag:OA-Publikationsfonds2022
Empire XPU 8.01; Matlab; crack detection; electromagnetic waves; wind turbine rotor blades
GND-Schlagwort:Windkraftwerk; Rotorblatt; Elektrostatische Welle; MATLAB
DDC-Klassifikation:500 Naturwissenschaften und Mathematik
BKL-Klassifikation:31 Mathematik
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2022
Lizenz (Deutsch):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)