Wind Turbines Acoustic Inspections performed with UAV and sound frequency domain analysis

Wind energy has supposed an important technological evolution in the last years in machinery advances and modern materials. Nevertheless, maintenance management and failure detection techniques require advances analytics. This article presents a new approach for wind turbines noise patterns using a deep acoustic analysis developed in the field on frequency domain. It is presented a new condition monitoring system embedded in an Unmanned Aerial Vehicle with an acoustic sensor. The validation is performed in a laboratory test rig and a real case study is also presented. The results obtained from the signal processing provide the detection and identification of faults in frequency domain analysis, making possible a dissertation between scenarios. This evidence keeps open the future research about sound analytics methodology for the wind turbines maintenance.