Damage assessment for wind turbine blades based on a multivariate statistical approach

Cava, David García; Tcherniak, Dmitri; Trendafilova, Irina

doi:10.1088/1742-6596/628/1/012086

Cited by 11 publications

(18 citation statements)

References 5 publications

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“…In the last years, the dynamic properties of composite laminates have been widely studied because of their applications in delamination detection [6] and structural health monitoring [7]. However, only several studies have investigated the vibratory behavior of composites reinforced with electrospun nanofibers.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Polycaprolactone Nanofibers on the Dynamic and Impact Behavior of Glass Fibre Reinforced Polymer Composites

2018

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In this article, the effect of polycaprolactone nanofibers on the dynamic behavior of glass fiber reinforced polymer composites is investigated. The vibratory behavior of composite beams in their pristine state (without any nano modification) and the same beams modified with polycaprolactone fibers is considered experimentally. The experimental results show that the incorporation of polycaprolactone nanofibers increases the damping; however, it does not significantly affect the natural frequencies. Additionally, the paper analyses the effect of polycaprolactone nanofibers on the impact behavior of glass fiber/epoxy composites. This has already been analyzed experimentally in a previous study. In this work, we developed a finite element model to simulate the impact behavior of such composite laminates. Our results confirm the conclusions done experimentally and prove that composites reinforced with polycaprolactone nanofibers are more resistant to damage and experience less damage when subjected to the same impact as the pristine composites. This study contributes to the knowledge about the dynamic behavior and the impact resistance of glass fiber reinforced polymer composites reinforced with polycaprolactone nanofibers. The findings of this study show that interleaving with polycaprolactone nanofibers can be used to control the vibrations and improve the impact damage resistance of structures made of composite mats as aircrafts or wind turbines.

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Section: Introductionmentioning

confidence: 99%

The Effect of Polycaprolactone Nanofibers on the Dynamic and Impact Behavior of Glass Fibre Reinforced Polymer Composites

2018

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“…It is also used as an anomaly detection method in tool wear health monitoring [19,20] and for damage assessment in wind turbine blades [21] , but it is still unpopular for fault detection in rolling element bearings. SSA has the capability to distinguish between different data categories when such are present in the data analysed [22][23][24] .…”

Section: Singular Spectrum Analysis | Featurementioning

confidence: 99%

A new methodology for fault detection in rolling element bearings using singular spectrum analysis

Al-Bugharbee¹,

Trendafilova²

2017

int j cond monitor

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“…The important feature of the suggested approach is that it is possible not only to detect damage but also to follow its development. 11 Additionally, in previous studies, [12][13][14] the possibility to use the technique for damage localization was demonstrated.…”

Section: Introductionmentioning

confidence: 95%

Active vibration-based structural health monitoring system for wind turbine blade: Demonstration on an operating Vestas V27 wind turbine

Tcherniak

Mølgaard²

2017

Structural Health Monitoring

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This study presents a structural health monitoring system that is able to detect structural defects of wind turbine blade such as cracks, leading/trailing-edge opening, or delamination. It is shown that even small defects of at least 15 cm size can be detected remotely without stopping the wind turbine. The structural health monitoring system presented is vibration-based: mechanical energy is artificially introduced by means of an electromechanical actuator, whose plunger periodically hits the blade. The induced vibrations propagate along the blade and are picked up by accelerometers mounted along the blade. The vibrations in mid-range frequencies are utilized: this range is above the frequencies excited by blade-wind interaction, ensuring a good signal-to-noise ratio. At the same time, the corresponding wavelength is short enough to deliver required damage detection resolution and long enough to be able to propagate the entire blade length. This article demonstrates the system on a Vestas V27 wind turbine. One blade of the wind turbine was equipped with the system, and a 3.5-month monitoring campaign was conducted while the turbine was operating normally. During the campaign, a defect-a trailing-edge opening-was artificially introduced into the blade and its size was gradually increased from the original 15 to 45 cm. Using a semi-supervised learning algorithm, the system was able to detect even the smallest amount of damage while the wind turbine was operating under different weather conditions. This article provides detailed information about the instrumentation and the measurement campaign and explains the damage detection algorithm.

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Damage assessment for wind turbine blades based on a multivariate statistical approach

Cited by 11 publications

References 5 publications

The Effect of Polycaprolactone Nanofibers on the Dynamic and Impact Behavior of Glass Fibre Reinforced Polymer Composites

The Effect of Polycaprolactone Nanofibers on the Dynamic and Impact Behavior of Glass Fibre Reinforced Polymer Composites

A new methodology for fault detection in rolling element bearings using singular spectrum analysis

Active vibration-based structural health monitoring system for wind turbine blade: Demonstration on an operating Vestas V27 wind turbine

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