Hyperspectral imaging applied for the detection of wind turbine blade damage and icing

Rizk, Patrick; Saleh, Nawal Al; Younès, Rafic; Ilinca, Adrian; Khoder, Jihan

doi:10.1016/j.rsase.2020.100291

Cited by 27 publications

(17 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This technique is fast in remote sensing, and it is used for fault detection and diagnosis. Rizk et al [127] used this method for fault and ice detection. The results showed that hyper-surface imaging can detect fault in surface and subsurface, and also early ice formation.…”

Section: Other Ndt Testingmentioning

confidence: 99%

A review of non-destructive testing on wind turbines blades

2020

View full text Add to dashboard Cite

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.

show abstract

Section: Other Ndt Testingmentioning

confidence: 99%

A review of non-destructive testing on wind turbines blades

2020

View full text Add to dashboard Cite

show abstract

“…Therefore, the research on the technology for the location determination of impacts on the WTB surface is of great significance for damage detection and risk reduction. Some current detection technologies, including noise analysis [ 2 , 3 ], vibration analysis [ 4 , 5 ], acoustic emission technology [ 6 , 7 ], and image recognition [ 8 , 9 ], have been vigorously investigated for the damage detection of WTBs.…”

Section: Introductionmentioning

confidence: 99%

Location Determination of Impact on the Wind Turbine Blade Surface Based on the FBG and the Time Difference

Wang

Sun

Wang

et al. 2021

Sensors

View full text Add to dashboard Cite

This paper proposes an approach to the determination of the precise location of an impact on the surface of a wind turbine blade (WTB) based on a fiber Bragg grating (FBG) and the time difference, and its effectiveness is verified by experiments. First, the strain on the WTB surface is detected with an FBG. Then, the signal is decomposed into a series of components via variational mode decomposition (VMD), and some signals with impact characteristics are chosen for reconstruction. The instant energy of the reconstructed signal is then amplified through the Teager energy operator (TEO) to identify the time difference between FBGs. Finally, the coordinate of the impact point is obtained by solving the hyperbolic mode with the time difference. The results of experiments demonstrate that the proposed approach exhibits good performance with high accuracy (97%) and low error (12.3 mm).

show abstract

“…In each case, however, there are certain properties to be considered. Glass fibers (GFs), carbon fibers (CFs), and aramid fibers (AFs) are the most widely used in the production of wind turbine blades [14][15][16][17][18][19]. Other examples are nylon, polyester (PE), polytetrafluoroethylene (PTFE), jute, flax, and steel fibers, which are used for specific purposes [4].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Glass Fiber Reinforced Polypropylene Nanocomposites for Small Wind Turbine Blades

et al. 2021

View full text Add to dashboard Cite

This study aims to evaluate the effect of functionalized multi-walled carbon nanotubes (MWCNTs) on the performance of glass fiber (GF)-reinforced polypropylene (PP) for wind turbine blades. Support for theoretical blade movement of horizontal axis wind turbines (HAWTs), simulation, and analysis were performed with the Ansys computer package to gain insight into the durability of polypropylene-chopped E-glass for application in turbine blades under aerodynamic, gravitational, and centrifugal loads. Typically, polymer nanocomposites are used for small-scale wind turbine systems, such as for residential applications. Mechanical and physical properties of material composites including tensile and melt flow indices were determined. Surface morphology of polypropylene-chopped E-glass fiber and functionalized MWCNTs nanocomposites showed good distribution of dispersed phase. The effect of fiber loading on the mechanical properties of the PP nanocomposites was investigated in order to obtain the optimum composite composition and processing conditions for manufacturing wind turbine blades. The results show that adding MWCNTs to glass fiber-reinforced PP composites has a substantial influence on deflection reduction and adding them to chopped-polypropylene E-glass has a significant effect on reducing the bias estimated by finite element analysis.

show abstract

Hyperspectral imaging applied for the detection of wind turbine blade damage and icing

Cited by 27 publications

References 19 publications

A review of non-destructive testing on wind turbines blades

A review of non-destructive testing on wind turbines blades

Location Determination of Impact on the Wind Turbine Blade Surface Based on the FBG and the Time Difference

Simulation of Glass Fiber Reinforced Polypropylene Nanocomposites for Small Wind Turbine Blades

Contact Info

Product

Resources

About