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Faculté des Sciences appliquées
Faculté des Sciences appliquées
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Development of an experimental platform dedicated to wind turbine default detection

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Dawans, Martin ULiège
Promotor(s) : Andrianne, Thomas ULiège
Date of defense : 27-Jun-2016/28-Jun-2016 • Permalink : http://hdl.handle.net/2268.2/1494
Details
Title : Development of an experimental platform dedicated to wind turbine default detection
Translated title : [fr] Développement d'une plateforme expérimentale dédiée à la détection des défauts d'une éolienne
Author : Dawans, Martin ULiège
Date of defense  : 27-Jun-2016/28-Jun-2016
Advisor(s) : Andrianne, Thomas ULiège
Committee's member(s) : Golinval, Jean-Claude ULiège
Bruls, Olivier ULiège
Laurent, Philippe ULiège
Marin, Frédéric 
Language : English
Discipline(s) : Engineering, computing & technology > Aerospace & aeronautics engineering
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en ingénieur civil en aérospatiale, à finalité approfondie
Faculty: Master thesis of the Faculté des Sciences appliquées

Abstract

[en] This work is divided into two distinct topics: the characterization of the sensors developed by the microSys laboratory and the analysis of a Horizontal Axis Wind Turbine. The first part was performed on a shaker, where the operating limits of the sensors have been studied. This research has shown unexpected results, since a decrease in the amplitude measured by the sensors was observed very early on the frequency range. The second part of the project was divided into three main parts: a theoretical study of the wind turbine with the creation of a structural and an aerodynamic model of the machine, a modal analysis performed on a single blade and on the entire structure and finally a series of tests carried on in a wind- tunnel. The machine modelling aims to compare the results predicted by the theory with the experimental measures, but also to understand how the turbine behaves when confronted to faulty situations. Using the modal analysis, it was possible to predict the deformation of the blade and the turbine with the frequency and to understand the vibration phenomena observed experimentally. The wind-tunnel test campaign revealed that the first natural frequency of the blade was excited at high rotation speed and high velocity, leading to an important level of vibration. In order to perform the wind-tunnel tests, a software was developed to receive simultaneously the data coming from the sensor, but also the voltage and the current delivered by the machine. The main goal of this project was to focus on the wind turbine defaults and on their detection. The different tools developed preliminary allowed to perform a complete analysis of the structure and to highlight the characteristics proper to each default. Four main phenomena were studied: the misalignment of the wind turbine with the wind, the load loss, the turbulence and the unbalance. Finally, an analysis aiming to highlight each malfunction was performed. Due to the strong acceleration noticed in the rotation of the blades, the detection of the load loss can be easily carried on, but the three other defaults are strongly dependent on the initial conditions, making the detection more complex.


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Author

  • Dawans, Martin ULiège Université de Liège > Master ingé. civ. aérospat., à fin., fin. appr. (ex 2e ma.)

Promotor(s)

Committee's member(s)

  • Golinval, Jean-Claude ULiège Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
    ORBi View his publications on ORBi
  • Bruls, Olivier ULiège Université de Liège - ULg > Département d'aérospatiale et mécanique > Laboratoire des Systèmes Multicorps et Mécatroniques
    ORBi View his publications on ORBi
  • Laurent, Philippe ULiège Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes microélectroniques intégrés
    ORBi View his publications on ORBi
  • Marin, Frédéric V2i, avenue du Pré-Aily, 25, 4031 ANGLEUR
  • Total number of views 53
  • Total number of downloads 12










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