Next Article in Journal
Asymmetric Oscillations of AFG Microscale Nonuniform Deformable Timoshenko Beams
Previous Article in Journal
Accelerometer Based Method for Tire Load and Slip Angle Estimation
Open AccessArticle

Experimental and Signal Processing Techniques for Fault Diagnosis on a Small Horizontal-Axis Wind Turbine Generator

Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in International Conference on Noise and Vibration Engineering and USD 2018, Leuven, Belgium, 17–19 September 2018.
These authors contributed equally to this work.
Vibration 2019, 2(2), 187-200;
Received: 8 March 2019 / Revised: 1 April 2019 / Accepted: 6 May 2019 / Published: 9 May 2019
(This article belongs to the Special Issue Experimental and Numerical Vibrational Analysis of Wind Turbines)
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. View Full-Text
Keywords: wind turbines; vibration; condition monitoring; wind tunnel wind turbines; vibration; condition monitoring; wind tunnel
Show Figures

Figure 1

MDPI and ACS Style

Natili, F.; Castellani, F.; Astolfi, D.; Becchetti, M. Experimental and Signal Processing Techniques for Fault Diagnosis on a Small Horizontal-Axis Wind Turbine Generator . Vibration 2019, 2, 187-200.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Back to TopTop