Affiliation:
1. Instituto Tecnológico de Morelia Tecnológico Nacional de México
2. Centro Nacional de Investigación y Desarrollo Tecnológico Tecnológico Nacional de México
Abstract
Wind power is one of the most important renewable energy sources due to its vast availability. Wind turbines are the equipment required to take advantage of the wind energy potential; therefore, a low reliability of these turbines limits the maximum power obtained from the wind. Different techniques and methodologies have been developed to monitor and detect failures in wind turbines in order to prevent undesirable conditions due to different operating conditions. This work presents a system designed to detect failures in wind turbines caused by mechanical vibrations, this system allows to diagnose, online, different structural failures in the wind turbine through a statistical frequency analysis based on LabView and Matlab. The designed system is validated by online measurements, obtained by 3-axis vibrations sensors in a domestic wind turbine. A graphical interface is developed in LabView in order to facilitate the online location and isolation of the detected failures.
Publisher
Universidad Nacional Autonoma de Mexico
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