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Machine Learning for Wind Turbine Crack Detection by juanjosesaucedodorantes is a document available to read on EtoBox.

What is Machine Learning for Wind Turbine Crack Detection about?

This document presents a machine learning methodology for detecting cracks in wind turbine blades, emphasizing the importance of early damage detection to prevent severe failures. Utilizing vibration signals and statistical indicators, the study achieves a high detection accuracy of 99.75% through neural networks. The research highlights the effectiveness of artificial intelligence in monitoring wind turbine health and mitigating risks associated with blade damage.

Author

juanjosesaucedodorantes

Language

EN