Time frequency analyses of vibrations of wind turbine towers

Chiang, Chih‐Hung; Huang, Chi-Luen; Hsu, Keng-Tseng; Ченг, Чиа-Чи; Yu, Chih-Peng; Lai, Jiunnren

doi:10.1117/12.2084154

Cited by 3 publications

(5 citation statements)

References 2 publications

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“…Wind turbine vibrations can be characterized by complex nonstationary, stochastic vibrations. 1–5,18,19 The blade model considers a variable mass and stiffness, and the influences of gravity and centrifugal stiffening caused by the time-varying rotation of the blades and wind turbulence load can be given as follows…”

Section: Discussion Of Resultsmentioning

confidence: 99%

“…Despite its importance and influence on the wind turbines, there is limited study published on wind turbine vibration testing in cold and remote areas; most previous wind turbine vibration research projects have mainly focused on computer models based on the first principles, simulation, and verification, and the computer models are validated by field testing. [12][13][14][15][16][17][18][19][20][21][22][23][24][25] Wind turbines often exhibit nonstationary stochastic vibrations due to variable wind loads. However, to comprehensively characterize the nonstationary stochastic properties, various kinds of tools have to be used.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Condition monitoring and vibration analysis of wind turbine

Xiao

Tian

Wait

et al. 2020

Advances in Mechanical Engineering

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Health condition monitoring through comprehensive monitoring, incipient fault diagnosis, and the prediction of impending faults allows for the promotion of the long-term performance of wind turbines, particularly those in harsh environments such as cold regions. The condition monitoring of wind turbines is characterized by the difficulties associated with the lack of measured data and the nonstationary, stochastic, and complicated nature of vibration responses. This article presents a characterization of the vibrations of an operational wind turbine by spectrogram, scalogram, and bi-spectrum analyses. The results reveal varied nonstationary stochastic properties and mode-coupling instability in the vibrations of the tested wind turbine tower. The analysis illustrates that the wind turbine system vibrations exhibit certain non-Gaussian stochastic properties. An analytical model is used to evaluate the nonstationary, stochastic phenomena and mode-coupling phenomena observed in the experimental results. These results are of significance for the fault diagnosis of wind turbine system in operation as well as for improving fatigue designs beyond the wind turbulence spectral models recommended in the standards.

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Section: Discussion Of Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Condition monitoring and vibration analysis of wind turbine

Xiao

Tian

Wait

et al. 2020

Advances in Mechanical Engineering

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“…The first is continuous wavelet transform using the software package Wavelet Toolbox by Mathworks @ . Another is the reassigned spectrogram using a computer code developed by our team [4].…”

Section: Signal Processing Using Time-frequency Analysesmentioning

confidence: 99%

Dynamic survey of wind turbine vibrations

et al. 2016

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Six wind turbines were blown to the ground by the wind gust during the attack of Typhoon Soudelor in August 2015. Survey using unmanned aerial vehicle, UAV, found the collapsed wind turbines had been broken at the lower section of the supporting towers. The dynamic behavior of wind turbine systems is thus in need of attention. The vibration of rotor blades and supporting towers of two wind turbine systems have been measured remotely using IBIS, a microwave interferometer. However the frequency of the rotor blade can be analyzed only if the microwave measurements are taken as the wind turbine is parked and secured. Time-frequency analyses such as continuous wavelet transform and reassigned spectrograms are applied to the displacement signals obtained. A frequency of 0.44Hz exists in both turbines B and C at various operating conditions. Possible links between dynamic characteristics and structural integrity of wind turbine -tower systems is discussed.

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“…The dynamics of the tower vibrations can be considered as a single degree of freedom system because its mass can only move along the vertical z -axis. Authors Chiang et al (2015), He and Ge (2015), and Jianbing et al (2015) argued that the nacelle and the blades could be considered as one concentrated tip mass.…”

Section: Vibration Analysis Of the Wind Turbine Modelmentioning

confidence: 99%

Modal and harmonic analysis of three-dimensional wind turbine models

et al. 2016

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In this article, the dynamic responses of wind turbine systems are analytically and numerically investigated. For this purpose, analytic differential equations of motion of wind turbine components subjected to vibration (the blades, the nacelle, and the tower) are solved. This allows determining their dynamic characteristics, mode shapes, and natural frequencies. Two models of two three-dimensional (3D) micro-turbine that are created by the finite element method are set up using the new version of the academic finite element analysis software ANSYS. The first wind turbine is a standard micro three-bladed turbine and the second one is a micro six-bladed Rutland 504. Their natural frequencies and mode shapes are identified based on the modal analysis principle to check the validity of designed models. Dynamic behaviors at several operating conditions of wind turbines are established. Then, spectrum graphs of the structures along x-, y-and z-axis are analyzed.

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Time frequency analyses of vibrations of wind turbine towers

Cited by 3 publications

References 2 publications

Condition monitoring and vibration analysis of wind turbine

Condition monitoring and vibration analysis of wind turbine

Dynamic survey of wind turbine vibrations

Modal and harmonic analysis of three-dimensional wind turbine models

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