Thermographic inspection of a wind turbine rotor blade segment utilizing natural conditions as excitation source, Part I: Solar excitation for detecting deep structures in GFRP

Worzewski, Tamara; Krankenhagen, Rainer; Doroshtnasir, Manoucher; Röllig, Mathias; Maierhofer, Christiane; Steinfurth, Henrik

doi:10.1016/j.infrared.2016.04.011

Cited by 26 publications

(8 citation statements)

References 16 publications

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“…The experimental results highlight the value of thermal imaging in detecting damages remotely when the blades are subject to operational loads. Instead of using an external heating source to excite thermal abnormalities, [22][23][24][25][26][27] we do not apply any thermal excitation to the blade in this study. The thermal footprints of damages are generated when the blade is under fatigue.…”

Section: Test Resultsmentioning

confidence: 99%

AQUADA: Automated quantification of damages in composite wind turbine blades for LCOE reduction

et al. 2020

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Reliability and cost are two important driving factors in the development of wind energy. Automation and digitalization of operation and maintenance (O&M) procedures help to increase turbine reliability and reduce the levelized cost of energy (LCOE). Here, we demonstrate a novel method, coined as AQUADA, which may change the current labor‐intensive and operation‐interfering blade inspection by using thermography and computer vision. We experimentally show that structural damages below the surfaces can be detected and quantified remotely when wind turbine blades are subject to fatigue loads. The data acquisition and analysis are automatically done in one single step, which may shift the current inspection paradigm through more automated O&M procedures. The cost analysis shows that the AQUADA method has a potential to at least half the total inspection cost and reduce the LCOE by 1%–2% when applied to a baseline land‐based wind farm consisting of twenty 2.45‐MW turbines. All data and source codes are published for researchers to reproduce our results and facilitate further development of AQUADA towards more mature industrial applications.

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Section: Test Resultsmentioning

confidence: 99%

AQUADA: Automated quantification of damages in composite wind turbine blades for LCOE reduction

et al. 2020

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“…Solar loading thermography [2,[26][27][28][29] is a promising NDT approach for inspecting large civil engineering constructions. In such applications, it is difficult, sometimes impossible, to thermally stimulate the tested object with an artificial energy source.…”

Section: Solar Loading Thermographymentioning

confidence: 99%

Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection

Ibarra-Castanedo

Сфарра

et al. 2021

Sensors

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Infrared thermography has been widely adopted in many applications for material structure inspection, where data analysis methods are often implemented to elaborate raw thermal data and to characterize material structural properties. Herein, a multiscale thermographic data analysis framework is proposed and applied to building structure inspection. In detail, thermograms are first collected by conducting solar loading thermography, which are then decomposed into several intrinsic mode functions under different spatial scales by multidimensional ensemble empirical mode decomposition. At each scale, principal component analysis (PCA) is implemented for feature extraction. By visualizing the loading vectors of PCA, the important building structures are highlighted. Compared with principal component thermography that applies PCA directly to raw thermal data, the proposed multiscale analysis method is able to zoom in on different types of structural features.

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“…Worzewski et al [75] employed several thermographic experiments on a glass fibre reinforced plastic (GFRP) stepped wedge and on a defective rotor WTB segment. The results showed that GFRP thicknesses of 3 cm can be detected only by solar heating.…”

Section: Thermography Testingmentioning

confidence: 99%

A review of non-destructive testing on wind turbines blades

2020

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Wind energy, with an exponential growth in the last years, is nowadays one of the most important renewable energy sources. Modern wind turbines are bigger and complex to produce more energy. This industry requires to reduce its operating and maintenance costs and to increase its reliability, safety, maintainability and availability. Condition monitoring systems are beginning to be employed for this purpose. They must be reliable and cost-effective to reduce the long periods of downtimes and high maintenance costs, and to avoid catastrophic scenarios caused by undetected failures. This paper presents a survey about the most important and updated condition monitoring techniques based on non-destructive testing and methods applied to wind turbine blades. In addition, it analyses the future trends and challenges of structural health monitoring systems in wind turbine blades.

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Thermographic inspection of a wind turbine rotor blade segment utilizing natural conditions as excitation source, Part I: Solar excitation for detecting deep structures in GFRP

Cited by 26 publications

References 16 publications

AQUADA: Automated quantification of damages in composite wind turbine blades for LCOE reduction

AQUADA: Automated quantification of damages in composite wind turbine blades for LCOE reduction

Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection

A review of non-destructive testing on wind turbines blades

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