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S. Sikdar

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Open access Aug 2026

Guided Wave based Damage Characterisation and Localization in Composite Wind Turbine Blades

Wind energy, as a major contributor to the renewable energy sector, is receiving increasing attention to meet the growing demand for low-carbon electricity. The performance of a wind turbine can be significantly affected by various types of damage in its components, particularly the rotor blades. If left undetected, da...

Farbod Dadashbaki, S. Sikdar, D. D. Mandal et al. · 0 citations
Open access Aug 2026

Acoustic Emission (AE) Source Monitoring in Composite Wind Turbine Blades using Narrow Frequency Bands and Machine Learning

Wind turbines (WT) need to perform well to meet the ever-growing demand of green energy. However, the performance of a wind turbine can be jeopardized due to occurrence of damage within its components. Acoustic emission (AE) is highly sensitive to occurrence of damage and can be used for damage identification. However,...

D. D. Mandal, S. Sikdar, Rakesh Mishra · 0 citations

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