A Vibration Estimation Method for Wind Turbine Blades

Aihara, Aya; Kawaguchi, Takayuki; Miki, N.; Azami, Takuya; Sakamoto, Hiraku; Okuma, Minoru

doi:10.1007/s11340-017-0295-x

Cited by 9 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Aihara et al [21] proposed a strain-based vibration monitoring system using strain gauges. It used modal analysis to accurately estimate the vibration in the direction that would result in the blade hitting the tower.…”

Section: Strainmentioning

confidence: 99%

Real-Time Monitoring of Wind Turbine Blade Alignment Using Laser Displacement and Strain Measurement

Ovenden

Wang

Huang

et al. 2019

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

View full text Add to dashboard Cite

Wind turbine (WT) blade structural health monitoring (SHM) is important as it allows damage or misalignment to be detected before it causes catastrophic damage such as that caused by the blade striking the tower. Both of these can be very costly and justify the expense of monitoring. This paper aims to deduce whether a SICK DT-50 laser displacement sensor (LDS) installed inside the tower and a half-bridge type II strain gauge bridge installed at the blade root are capable of detecting ice loading, misalignment, and bolt loosening while the WT is running. Blade faults were detected by the virtual instrument, which conducted a z-test at 99% and 98% significance levels for the LDS and at 99.5% and 99% significance levels for the strain gauge. The significance levels chosen correspond to typical Z-values for statistical tests. A higher significance was used for the strain gauge as it used a one-tail test as opposed to a two-tail test for the LDS. The two different tests were used to test for different sensitivities of the tests. The results show that the strain gauge was capable of detecting all the mass loading cases to 99.5% significance, and the LDS was capable of detecting misalignment, bolt loosening, and 3 out of 4 mass loading cases to 99% significance. It was able to detect the least severe mass loading case of 11 g at the root to only a 98% significance.

show abstract

Section: Strainmentioning

confidence: 99%

Real-Time Monitoring of Wind Turbine Blade Alignment Using Laser Displacement and Strain Measurement

Ovenden

Wang

Huang

et al. 2019

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

View full text Add to dashboard Cite

show abstract

“…Thus, the kinetic and the potential energy are used to incorporate the rotary inertia, shear deformation, rotational speed, hub radius and bending-bending-torsion coupling deformation. The work in 10 reports the development of a vibration monitoring system to estimate the deflection at the tip of the blade, especially in cases when the blades begin to vibrate excessively. Analytical methods are used in 11 to investigate the forced vibration of the symmetric cracked Timoshenko beam under harmonic excitations.…”

Section: Introductionmentioning

confidence: 99%

Comparison of beam theories for characterisation of a NREL wind turbine blade flap-wise vibration

Algolfat

Wang

Albarbar

2022

Proceedings of the Institution of Mechanical Engineers, Part A:

View full text Add to dashboard Cite

Offshore wind turbine blades significantly differ from their onshore counterparts. With the increasing sizes, the hostile weather operational conditions, and the need to protect them against damage and breakdown, structural dynamics analysis is an essential and popular approach. An accurate and computationally simple model is desirable in the application of online structural health monitoring. For example using a digital twin of such structure. Free vibration investigation is a fundamental step for the analysis of structural dynamics. When a rotating blade deflects either in the plane of rotation or perpendicular to it, the centrifugal force on each blade exerts inertia force along the blade span, which has the effect of stiffening the blade and, as a result increasing the natural frequencies compared with the stationary ones. However, the influence of different blade parameters on the flap-wise vibrations is not very well understood. In this paper, the blade of horizontal axis wind turbines (HAWT) is modelled using different beam theories to pursue the effect of adding the different parameters on the dynamic modal characteristics. The examined models have been used to determine the natural frequencies and mode shapes of the National Renewable Energy Laboratory (NREL) 5-MW wind turbine. Results demonstrate that increasing angular velocity has a significant impact on the natural frequencies and mode shapes. The rotary inertia is found to impact the free vibration responses of the studied blades. Moreover, increasing hub radius, pre-cone and pitch angles are found to have less influence on the natural frequencies. Compared to the other investigated methods, Bernoulli’s based algorithms are found to produce less accurate results

show abstract

Research on vibration fatigue behavior of blade structures based on infrared thermography

Cai,

Chen,

Kou

et al. 2024

Infrared Physics & Technology

View full text Add to dashboard Cite

A Vibration Estimation Method for Wind Turbine Blades

Cited by 9 publications

References 12 publications

Real-Time Monitoring of Wind Turbine Blade Alignment Using Laser Displacement and Strain Measurement

Real-Time Monitoring of Wind Turbine Blade Alignment Using Laser Displacement and Strain Measurement

Comparison of beam theories for characterisation of a NREL wind turbine blade flap-wise vibration

Research on vibration fatigue behavior of blade structures based on infrared thermography

Contact Info

Product

Resources

About