Damage location and growth detection in composite material (Blades) by using acoustic emission sensors in 3D environment

Acoustic emission sensors are commonly employed for damage detection in various structural systems, utilizing frequency analysis and energy levels.

However, existing systems generally lack the capability to precisely locate the damage, primarily indicating its presence.

This study aims to address this limitation by introducing acoustic sensors at different locations on wind turbine blades.

By leveraging the communication speed and delay in parameter readings, the study intends to approximate the location of the damage. This innovative approach holds promise for enhancing the precision of damage identification within wind turbine blades.