Structural Health Monitoring WTB Using the Effectiveness of Graphical Programming Packages Analysis on Acoustic Emission Data

This paper analyzes the wind turbine blades (WTB) failures common acoustic emission characteristics. Its time-frequency domain analysis based on the transmission characteristics of key components with the fault, determine the location of the wind turbine drive train monitoring points that allow you to set the relevant acoustic emission sensors collect key components of the acoustic emission signals. We describes software analytical complex of analysis the spectral characteristics AE. The complex includes the study of the signals with the ability to create a database for identification. The dependencies between time of data treatment and number of processing points when LabVIEW and MATLAB are used both together and then separately. The frequency and amplitude of AE signals lead to the conclusion about the current state of the object control.