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Open AccessArticle

Analysis of Modal Parameters Using a Statistical Approach for Condition Monitoring of the Wind Turbine Blade

by *,† and
Department of Mechatronics and High Voltage Engineering, Faculty of Electrical and Control Engineering, Gdansk University of Technology, 80-233 Gdansk, Poland
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Appl. Sci. 2020, 10(17), 5878; https://doi.org/10.3390/app10175878
Received: 15 July 2020 / Revised: 13 August 2020 / Accepted: 22 August 2020 / Published: 25 August 2020
The primary objective of the presented paper is the numerical and experimental investigation related to developing a useful diagnostic method, which can be used for determining the site and size of damage in laminated shells of wind turbine blades. The described detection technique is based on the analysis of low frequencies bending vibrations mode shapes of rotor blades. The authors used the commonly applied statistics methods that have been adapted to detect edges of damage, including the normalized determination coefficient fit, which is a measure of the absolute fit between two curves. The research was conducted for a scaled-down blade of a three-bladed horizontal-axis wind turbine with 36 m diameter rotor. The study was divided into two parts. The first stage included numerical calculations using the finite element method, which were supplemented in the second stage by measurements under laboratory conditions of the specially manufactured composite blade. The forms of natural vibrations for intact and damaged blade were determined using Laser Doppler Scanning Vibrometry. The results of the presented research confirm the effectiveness of the modal analysis combined with statistic calculation in damage detection. The method points out the location of relatively small damage. View Full-Text
Keywords: modal analysis; non-destructive damage detection; wind turbines blade; vibration based methods; statistic; laser vibrometry modal analysis; non-destructive damage detection; wind turbines blade; vibration based methods; statistic; laser vibrometry
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MDPI and ACS Style

Dolinski, L.; Krawczuk, M. Analysis of Modal Parameters Using a Statistical Approach for Condition Monitoring of the Wind Turbine Blade. Appl. Sci. 2020, 10, 5878. https://doi.org/10.3390/app10175878

AMA Style

Dolinski L, Krawczuk M. Analysis of Modal Parameters Using a Statistical Approach for Condition Monitoring of the Wind Turbine Blade. Applied Sciences. 2020; 10(17):5878. https://doi.org/10.3390/app10175878

Chicago/Turabian Style

Dolinski, Lukasz; Krawczuk, Marek. 2020. "Analysis of Modal Parameters Using a Statistical Approach for Condition Monitoring of the Wind Turbine Blade" Appl. Sci. 10, no. 17: 5878. https://doi.org/10.3390/app10175878

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