Adaptive Neuro-Fuzzy System for Detection of Wind Turbine Blade Defects

Adaptive Neuro-Fuzzy System for Detection of Wind Turbine Blade Defects

Wind turbines are the most frequently used objects of renewable energy today. However, issues that arise during their operation can greatly affect their effectiveness. Blade erosion, cracks, and other defects can slash turbine performance while also forcing maintenance costs to soar. Modern defect d...

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Bibliographic Details
Main Authors: Lesia Dubchak, Anatoliy Sachenko, Yevgeniy Bodyanskiy, Carsten Wolff, Nadiia Vasylkiv, Ruslan Brukhanskyi, Volodymyr Kochan
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
wind turbine
adaptive neuro-fuzzy inference system
defect detection
subtractive clustering
grid partitioning
Online Access:https://www.mdpi.com/1996-1073/17/24/6456
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