We use lightweight, compact arrays of microphones to measure the sound pressure levels radiated by wind turbine rotors, which provides a rapid and contactless collection of high-resolution data while the turbine remains operational under typical environmental conditions.
The data collected are the acoustic signals generated by each blade with respect to the angular position and the location along the length of each blade in relation to the motion of the rotor.
Our analytical process begins with identifying large variations of the sound pressure levels among the blades, relative to each other.
We can identify where on the blade damage has occurred. This isolation diagnostic process allows us to assign a root cause for the damage. For example, we can distinguish if there is torsional oscillations from angular speed variations, or if there is blade imbalance due to severe load asymmetry.
We provide a standard catalog of component damage and operational inefficiencies
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