Wind turbine blades are exposed to continuously-varying aerodynamic forces, gravitational loads, lightning strikes, and weather conditions that lead the blade damage such as leading and trailing edge splits, cracks and holes. The Structural Dynamics and Acoustic Systems Laboratory (SDASL) at University of Massachusetts Lowell is currently working on the development of an acoustics-based sensing technology for wind turbine blade damage detection.
They used pure tone signals to acoustically excite the cavity from inside and National Instruments 64-channel PXI DAQ hardware powered by m+p Analyzer software in order to collect the signals from two microphones. One microphone was placed inside the blade and another one outside the blade but located on the tower of the subscale turbine.
Download the 2-page “Wind Turbine Blade Damage Detection by Acoustic Measurements using the m+p System” abstract of a paper presented at the IMAC Conference and Exhibition 2016.