An Intelligent Strategy for Wind Turbine Condition Monitoring

Floating offshore wind turbines are preferred for their adaptability to deepwater environments and high power generation efficiency. The control of floating offshore wind turbines presents significant challenges. The incidence of component failures is higher and the production of floating offshore wind turbines presents significant challenges. This study presents a model-free fault-tolerant adaptive control system for blade root moment sensors. We develop an individual pitch controller and fault repair system using model-free adaptive control, circumventing the need for mathematical modelling of floating offshore wind turbines. Fault-tolerant control addresses fault detection and isolation by turning dynamic fault compensation into a real-time control challenge for non-linear systems. Evaluate and replicate the suggested control method using fatigue code, aerodynamics, structures and turbulence. Equalise wheel bearing load, minimise floating platform movement and decrease bearing load in offshore wind turbines. The system demonstrates strong fault tolerance, particularly in scenarios where the blade root moment sensor suffers frequent failures, as its output power remains close to the rated power.