Single-Sensor Impact Source Localization Method for Anisotropic Glass Fiber Composite Wind Turbine Blades

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 14; p. 4466
• Main Authors: Huang, Liping, Lu, Kai, Zeng, Liang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 17.07.2025; MDPI
• Subjects: acoustic emission; Acoustics; Air-turbines; Algorithms; Anisotropy; Deep learning; Failure; Fourier transforms; Localization; Methods; Propagation; Sensors; Signal processing; single sensor; source localization; Turbines; Velocity; wind turbine blades; deep learning; source localization; wind turbine blades; acoustic emission; single sensor

The wind turbine blade is subject to multi-source impacts, such as bird strikes, lightning strikes, and hail, throughout its extended service. Accurate localization of those impact sources is a key technical link in structural health monitoring of the wind turbine blade. In this paper, a single-sens...