0000000001278983
AUTHOR
Vegard Svensli ÅSvestad
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Fault Diagnosis of Gearbox Based Pitch Drives in Wind Turbines : Fault Detection by Support Vector Machine Using Motor Current Signal Analysis
2020
Master's thesis in Renewable energy (ENE500) The growing dependence on wind power in recent years has increased the demand for reliantwind turbines. The pitch system of a wind turbine is one of the components with the highest failure rates. The most common way of diagnosing pitch system faults is currently through vibration analysis, which requires the installation of vibration sensors. This thesis presents a non-intrusive method for fault detection of the planetary gearbox in an electric wind tur-bine pitch system. The method is based on using the three-phase motor currents from the induction motor of the pitch system to calculate a DC offset using Extended Park’s vector approach (EPVA). B…