Abstract
Condition monitoring in wind turbines essentially involves optimal sensor placement, vibration analysis, review of failure modes, fault diagnosis and detection, and identification of fault signatures. Predictive analytics also plays a major role in condition monitoring. Prognosis involves the development of regression and classification-based algorithms which can be used to identify and predict the location and the intensity of faults. The wind energy conversion system (WECS) is a complex system with several mechanical, electrical and electronic parts. The common faults that occur in WECS include faults in the blade, gearbox, generator, bearing, mechanical braking system, and pitch-controlled system.
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