Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review

Modern wind turbines operate in continuously transient conditions, with varying speed, torque, and power based on the stochastic nature of resource. This variability affects not only operational performance system, but can also affect its integrity under service conditions. Condition monitoring continues to play an important role achieving reliable economic operation turbines. paper reviews current advances turbine condition monitoring, ranging from conventional signal processing tools machine-learning-based usage big data mining for predictive maintenance. A systematic review is presented signal-based data-driven modeling methodologies using intelligent machine learning approaches, view providing a critical evaluation recent developments this area, their applications diagnosis, prognosis, health assessment, maintenance farms.