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. This chapter aims to present an exhaustive review of the latest technologies used to monitor the various components of WECS and the research challenges faced in this area.
Elsevier, Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy, Volume , 1 January 2023
