☆ 4.5 Article

Automated Quantification of Wind Turbine Blade Leading Edge Erosion from Field Images

ENERGIES (2023)

Related references

Note: Only part of the references are listed.

Article Meteorology & Atmospheric Sciences

Evaluation of WRF Simulation of Deep Convection in the US Southern Great Plains

S. C. Pryor et al.

Summary: The Southern Great Plains region experiences frequent heavy rainfall and hail events. This study used the WRF Model to simulate seven months of weather conditions, and evaluated the accuracy of the simulation. The results showed that the model performed well in simulating precipitation and wind speeds, but had some biases in simulating extremely high rainfall and hail. Greater accuracy is needed for joint probabilities of wind speed, rainfall, and hail for renewable energy applications.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2023)

Add to Collection

Article Materials Science, Characterization & Testing

Active thermography for the interpretation and detection of rain erosion damage evolution on GFRP airfoils?

Friederike Jensen et al.

Summary: Defects such as voids in wind turbine blades affect premature rain erosion, particularly at the leading edge. Active thermography enables non-contact in-situ inspection of leading edges. Thermographic investigations reveal that sub-surface defects make the blades more susceptible to erosion, and erosion onset depends on defect depth. The development from sub-surface to surface defects can be visualized, allowing damage stage to be assigned to an erosion stage.

NDT & E INTERNATIONAL (2023)

Add to Collection

Review Chemistry, Physical

The Springer Model for Lifetime Prediction of Wind Turbine Blade Leading Edge Protection Systems: A Review and Sensitivity Study

Nick Hoksbergen et al.

Summary: The wind energy sector is growing rapidly, leading to larger wind turbines and increased erosion damage from rain droplets. Coating materials are used to protect the blades, and the Springer model is commonly used to predict the fatigue lifetime of these coated substrates. However, the model's sensitivity to input parameters and lack of physical representation highlight the need for more accurate prediction methods. A proposed framework consisting of a contact pressure model, coating stress model, and fatigue strength model is sufficient to capture the underlying physics of rain erosion on wind turbine blades.

MATERIALS (2022)

Add to Collection

Review Chemistry, Physical

Root Causes and Mechanisms of Failure of Wind Turbine Blades: Overview

Leon Mishnaevsky

Summary: This paper presents a review of the root causes and mechanisms of damage and failure to wind turbine blades, including leading edge erosion, adhesive joint degradation, trailing edge failure, buckling, and blade collapse phenomena. The methods of investigating different damage mechanisms, such as full-scale testing, post-mortem analysis, computational simulations, and sub-component testing, are reviewed. The importance of manufacturing defects for the failure mechanisms of wind turbine blades is highlighted.

MATERIALS (2022)

Add to Collection

Review Energy & Fuels

Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research

Sara C. Pryor et al.

Summary: Leading edge erosion (LEE) of wind turbine blades can lead to decreased power production and increased costs. Understanding hydrometeor properties and joint probability distributions of precipitation and wind speeds is necessary. However, there is a lack of observational data for such locations.

ENERGIES (2022)

Add to Collection

Article Physics, Fluids & Plasmas

CFD Modeling of Wind Turbine Blades with Eroded Leading Edge

Michael Carraro et al.

Summary: This work compares 2D and 3D CFD modeling of wind turbine blades and defines simplified models of eroded leading edge arrangements. The study finds that the 2D model accurately describes the inviscid characteristics of the system, but underestimates wall friction and drag coefficients, leading to flow separation. However, the 2D model is highly accurate and much faster in dealing with the significant aerodynamics performance of the blade.

FLUIDS (2022)

Add to Collection

Article Engineering, Biomedical

Deep-learning-based instrument detection for intra-operative robotic assistance

Jorge Badilla-Solorzano et al.

Summary: This study focuses on the application of robotic scrub nurses in the operating room, addressing the task of surgical instrument detection. A data augmentation technique is proposed, and different Mask R-CNN models are trained and evaluated using both real and synthetic data. The results demonstrate that the models trained on synthetic data achieve comparable performance to those trained on real images, and the combination of real and synthetic data leads to a superior level of generalization.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2022)

Add to Collection

Article Energy & Fuels

Machine learnt prediction method for rain erosion damage on wind turbine blades

Alessio Castorrini et al.

Summary: This paper proposes a new numerical simulation approach to predict rain erosion damage on wind turbine blades by building a large database of operating conditions and training a machine learning algorithm. The prediction becomes faster than using standard simulations, allowing for the study of a wide range of variable conditions. The method is applied successfully to predict erosion damage on a blade section after one year of operation, showing promising potential.

WIND ENERGY (2021)

Add to Collection

Article Green & Sustainable Science & Technology

Analysis of leading edge erosion effects on turbulent flow over airfoils

Akshay Koodly Ravishankara et al.

Summary: Surface degradation of wind turbine blades due to exposure to elements like rain, hail, and insects can lead to aerodynamic performance reduction and power losses. Roughness models are used to study the effect of erosion on flow quantities without the need to accurately model the degraded surface. Different roughness models are evaluated against theoretical models to quantify the reduction in performance of airfoils due to leading edge roughness.

RENEWABLE ENERGY (2021)

Add to Collection

Article Environmental Sciences

Region-Based Convolutional Neural Network for Wind Turbine Wake Characterization in Complex Terrain

Jeanie A. Aird et al.

Summary: This study successfully identified and characterized wind turbine wakes using a region-based convolutional neural network, even in complex terrain and varying resolutions. The model exhibited high success rate and robustness in recognizing wakes, with characteristics consistent with expected behaviors under different meteorological conditions.

REMOTE SENSING (2021)

Add to Collection

Article Green & Sustainable Science & Technology

Leading edge erosion of wind turbine blades: Understanding, prevention and protection

Leon Mishnaevsky et al.

Summary: This overview paper discusses recent studies on the mechanisms, modeling, and prevention of surface erosion of wind turbine blades. It summarizes the latest research on leading edge erosion from various perspectives and discusses experimental testing of anti-erosion coatings, impact of erosion on wind turbine aerodynamics, and meteorological aspects. Computational models of leading edge erosion and development directions of anti-erosion coatings are also presented.

RENEWABLE ENERGY (2021)

Add to Collection

Review Engineering, Mechanical

Leading edge topography of blades-a critical review

Robert J. K. Wood et al.

Summary: This review focuses on the effects of leading edge damage and roughness on the performance of turbomachinery blades, as well as efforts to predict and model these changes. Additive and subtractive processes affecting roughness are examined, with an emphasis on the impact of additive processes on performance.

SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES (2021)

Add to Collection

Article Energy & Fuels

Aerodynamics of leading-edge protection tapes for wind turbine blades

Desirae Major et al.

Summary: A comparative study on the effect of standard and tapered leading-edge protection (LEP) tapes on the annual energy production (AEP) of a utility-scale 1.5 MW wind turbine reveals that tapered LEP tapes can reduce the adverse impact on AEP.

WIND ENGINEERING (2021)

Add to Collection

Review Engineering, Mechanical

Damage detection techniques for wind turbine blades: A review

Ying Du et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Add to Collection

Article Mechanics

Numerical investigation of rain droplet impact on offshore wind turbine blades under different rainfall conditions: A parametric study

Amrit Shankar Verma et al.

COMPOSITE STRUCTURES (2020)

Add to Collection

Article Energy & Fuels

Uncertainty Quantification of the Effects of Blade Damage on the Actual Energy Production of Modern Wind Turbines

Francesco Papi et al.

ENERGIES (2020)

Add to Collection

Article Energy & Fuels

Power and Wind Shear Implications of Large Wind Turbine Scenarios in the US Central Plains

Rebecca J. Barthelmie et al.

ENERGIES (2020)

Add to Collection

Article Energy & Fuels

Costs of repair of wind turbine blades: Influence of technology aspects

Jr Leon Mishnaevsky et al.

WIND ENERGY (2020)

Add to Collection

Article Meteorology & Atmospheric Sciences

WRF Modeling of Deep Convection and Hail for Wind Power Applications

F. Letson et al.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2020)

Add to Collection

Article Materials Science, Multidisciplinary

Damage Mechanism Based Approach to the Structural Health Monitoring of Wind Turbine Blades

Malcolm McGugan et al.

COATINGS (2020)

Add to Collection

Proceedings Paper Energy & Fuels

Rain droplet erosion behavior of a thermoplastic based leading edge protection system for wind turbine blades

T. H. Hoksbergen et al.

41ST RISO INTERNATIONAL SYMPOSIUM ON MATERIALS SCIENCE: MATERIALS AND DESIGN FOR NEXT GENERATION WIND TURBINE BLADES (2020)

Add to Collection

Review Computer Science, Artificial Intelligence

Convolutional neural network: a review of models, methodologies and applications to object detection

Anamika Dhillon et al.

PROGRESS IN ARTIFICIAL INTELLIGENCE (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Radar-derived precipitation climatology for wind turbine blade leading edge erosion

Frederick Letson et al.

WIND ENERGY SCIENCE (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Comprehensive life cycle assessment of large wind turbines in the US

Ali Alsaleh et al.

CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY (2019)

Add to Collection

Article Green & Sustainable Science & Technology

Wind turbine blade surface inspection based on deep learning and UAV-taken images

Donghua Xu et al.

JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY (2019)

Add to Collection

Review Green & Sustainable Science & Technology

The increasing importance of leading edge erosion and a review of existing protection solutions

Robbie Herring et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)

Add to Collection

Article Green & Sustainable Science & Technology

Effects of contamination and erosion at the leading edge of blade tip airfoils on the annual energy production of wind turbines

Woobeom Han et al.

RENEWABLE ENERGY (2018)

Add to Collection

Article Green & Sustainable Science & Technology

Impact fatigue damage of coated glass fibre reinforced polymer laminate

Anthony Fraisse et al.

RENEWABLE ENERGY (2018)

Add to Collection

Article Energy & Fuels

Wind turbine blade coating leading edge rain erosion model: Development and validation

Drew Eisenberg et al.

WIND ENERGY (2018)

Add to Collection

Article Environmental Sciences

Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network

Wei Guo et al.

REMOTE SENSING (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Image segmentation based on adaptive K-means algorithm

Xin Zheng et al.

EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING (2018)

Add to Collection

Article Green & Sustainable Science & Technology

Extending the life of wind turbine blade leading edges by reducing the tip speed during extreme precipitation events

Jakob Ilsted Bech et al.

WIND ENERGY SCIENCE (2018)

Add to Collection

Article Energy & Fuels

The Influence of Eroded Blades on Wind Turbine Performance Using Numerical Simulations

Matthias Schramm et al.

ENERGIES (2017)

Add to Collection

Article Energy & Fuels

Aerodynamic Analysis of an Airfoil With Leading Edge Pitting Erosion

Yan Wang et al.

JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME (2017)

Add to Collection

Article Engineering, Civil

A computational framework for the analysis of rain-induced erosion in wind turbine blades, part I: Stochastic rain texture model and drop impact simulations

B. Amirzadeh et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2017)

Add to Collection

Review Computer Science, Artificial Intelligence

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

Waseem Rawat et al.

NEURAL COMPUTATION (2017)

Add to Collection

Proceedings Paper Computer Science, Artificial Intelligence

Mask R-CNN

Kaiming He et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

Add to Collection

Article Multidisciplinary Sciences

Damage tolerance and structural monitoring for wind turbine blades

M. McGugan et al.

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2015)

Add to Collection

Review Green & Sustainable Science & Technology

Leading edge erosion of coated wind turbine blades: Review of coating life models

H. M. Slot et al.

RENEWABLE ENERGY (2015)

Add to Collection

Proceedings Paper Computer Science, Artificial Intelligence

When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition

Guosheng Hu et al.

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOP (ICCVW) (2015)

Add to Collection

Article Energy & Fuels

Effects of leading edge erosion on wind turbine blade performance

Agrim Sareen et al.

WIND ENERGY (2014)

Add to Collection

Proceedings Paper Energy & Fuels

A practical study of the aerodynamic impact of wind turbine blade leading edge erosion

N. Gaudern

SCIENCE OF MAKING TORQUE FROM WIND 2014 (TORQUE 2014) (2014)

Add to Collection

Review Green & Sustainable Science & Technology

A brief status on condition monitoring and fault diagnosis in wind energy conversion systems

Y. Amirat et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2009)

Add to Collection

Article Engineering, Mechanical

Development in vibration-based structural damage detection technique

Y. J. Yan et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)

Add to Collection

Article Chemistry, Applied

The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observations

G Sharma et al.

COLOR RESEARCH AND APPLICATION (2005)

Add to Collection

Article Geochemistry & Geophysics

Linearized vegetation indices based on a formal statistical framework

C Ünsalan et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2004)

Add to Collection

© Peeref 2019-2024. All rights reserved.