Experimental and Numerical Vibrational Analysis of Wind Turbines

A special issue of Vibration (ISSN 2571-631X).

Deadline for manuscript submissions: closed (31 March 2019)

Special Issue Editor


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Guest Editor
Department of Engineering, University of Perugia, Via G. Duranti 93, IT06125 Perugia, Italy
Interests: wind turbine; vibrations; aeroelasticity; fault diagnosis; wakes; SCADA; applied aerodynamics; mechanical system dynamics
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Special Issue Information

Dear Colleagues,

It is a pleasure for me to announce this Special Issue focused on the challenging topic of the experimental and numerical vibrational analysis of wind turbines.

A wind turbine is a very well-known archetype of energy conversion system, operating in non-stationary conditions. Despite its simplicity, a deep mechanical comprehension of its operation, especially in complex conditions, is still challenging both on a large scale, as well as for small-scale systems.

Analyzing, in depth, wind turbine vibrations is complex, but, at the same time, it is a challenge that academia and industry need to face in order to boost the reliability and the suitability of such systems. New experimental, numerical and signal processing techniques can result in fundamentals for improving the reliability and safety of such systems in the actual operational environment.

High quality papers focused on these research topics are welcome with the aim of spreading and sharing knowledge on this fascinating field of wind energy science.

Prof. Dr. Francesco Castellani
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vibration is an international peer-reviewed open access quarterly journal published by MDPI.

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Keywords

  • Wind turbine vibrations
  • Wind turbine dynamics
  • Aeroelasticity
  • Condition Monitoring
  • PHM

Published Papers (1 paper)

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Research

14 pages, 10659 KiB  
Article
Experimental and Signal Processing Techniques for Fault Diagnosis on a Small Horizontal-Axis Wind Turbine Generator
by Francesco Natili, Francesco Castellani, Davide Astolfi and Matteo Becchetti
Vibration 2019, 2(2), 187-200; https://doi.org/10.3390/vibration2020012 - 09 May 2019
Cited by 3 | Viewed by 2970
Abstract
Small horizontal-axis wind turbine (HAWT) is a technology characterized by non-trivial critical points, basically because it is targeted for domestic use and therefore cheap manufacturing and control must conjugate with good efficiency under possibly complex flow conditions (especially in urban environment). Therefore, dynamical [...] Read more.
Small horizontal-axis wind turbine (HAWT) is a technology characterized by non-trivial critical points, basically because it is targeted for domestic use and therefore cheap manufacturing and control must conjugate with good efficiency under possibly complex flow conditions (especially in urban environment). Therefore, dynamical control optimization and noise and vibration mitigation are pressing issues for this kind of technology. Despite this, it is peculiar of small HAWTs that the generator constitutes a non-negligible fraction of the total mass and therefore the electromechanical coupling is relevant, condition monitoring of small HAWT generators is an overlooked topic. The present work is a test case study of damage diagnosis on a permanent magnet generator of a HAWT having 3 kW of maximum power and 2 m of rotor diameter. The experimental analysis is conducted through wind tunnel tests and on a generator test rig where a damaged and an undamaged generators have been driven at different rotational speeds. Vibration measurements are collected in the wind tunnel through radial accelerometers near the rear bearing of the shaft and in the test rig through uni-axial accelerometers (fixed in radial positions, in order to be aligned with front and rear bearings). The test rig data results are particularly useful for studying the low-frequency tail of the vibration spectrum, where the characteristic frequencies of the bearing are located. The experimental data are analyzed in the time and frequency domain for feature extraction: a fault in the cage of the bearing supporting the generator is diagnosed using in particular the spectral coherence analysis. Full article
(This article belongs to the Special Issue Experimental and Numerical Vibrational Analysis of Wind Turbines)
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