Latest Issue
 
Windtech International November December 2024 issue

 

FOLLOW US AT

follow

 

follow
BAM Figure 1Combining Infrared Thermography and AI
Rain erosion can significantly impact wind turbine performance and maintenance costs, particularly affecting the leading edge of turbine blades. This erosion can cause pitting, surface roughness and even cracks, which compromise blade integrity while reducing aerodynamic efficiency and energy output. Energy output loss due to rain erosion is known to be approximately 0.5 to 2% and in some severe cases even more. The consequences of this damage could increase maintenance and operation costs. Traditional inspection and maintenance methods cause turbine downtime, leading to lost revenue. Modern non-destructive testing technologies such as infrared thermography combined with artificial intelligence for data analysis can provide an efficient solution to detect rain erosion on operational wind turbine blades, minimising the impact on maintenance and operation costs.
 
By Michael Stamm, Somsubhro Chaudhuri and Daniel Hein, BAM, Germany

Login

 
Use of cookies

Windtech International wants to make your visit to our website as pleasant as possible. That is why we place cookies on your computer that remember your preferences. With anonymous information about your site use you also help us to improve the website. Of course we will ask for your permission first. Click Accept to use all functions of the Windtech International website.