Abstract:
Wind turbines are increasing in number, size and market share. It is determined whether they are efficient through operating and maintenance costs. Therefore, one of the main objectives of the wind turbines is to increase the service life of
the components by applying different methodologies for fault detection. The gearbox is a critical component since it causes the most downtime and failure rate of
the wind turbines. The Supervisory Control and Data Acquisition system offers the
measurement of several variables, and by a correct analysis it is possible to detect
the faults before they occur. This paper analyses the temperature curve of bearing
versus wind speed as significant variables of a gearbox failure for fault detection.
