Data-driven virtual sensor for online loads estimation of drivetrain of wind turbines

Virtual Wind Speed Sensor for Wind Turbines

A data-driven approach for development of a virtual wind-speed sensor for wind turbines is presented. The virtual wind-speed sensor is built from historical wind-farm data by data-mining algorithms. Four different data-mining algorithms are used to develop models using wind-speed data collected by anemometers of various wind turbines on a wind farm. The computational results produced by differe...

Analysis of Wind Turbine Blade Vibration and Drivetrain Loads

ANALYSIS OF WIND TURBINE BLADE VIBRATION AND DRIVETRAIN LOADS By Venkatanarayanan Ramakrishnan The reliability of wind turbines is a major issue for the industry. Drivetrain and blade failures are common, costly and not fully understood. Designers must thus examine and understand the key parameters that influence reliability. As wind turbines increase in size, the blades are designed to be more...

Sensor Fault Diagnosis of Wind Turbines for Fault Tolerant

This paper aims at the blade root moment sensor fault detection and isolation issue. The underlying problem is crucial to the successful application of the individual pitch control system which plays a key role for reducing the blade loads of large offshore wind turbines. In this paper, a wind turbine model is built based on the closed loop identification technique, where the wind dynamics is i...

Investigation of Site-Specific Wind Field Parameters and Their Effect on Loads of Offshore Wind Turbines

The main contributing factors to unsteady loading of Offshore Wind Turbines (OWT) are wind shear, turbulence, and waves. In the present paper, the turbulence intensity and the wind shear exponent are investigated. Using data from the FINO 1 research platform, these parameters are analyzed and compared with the proposed wind field parameters in the IEC standard 61400-3. Based on this analysis, a...

Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines