A novel fault-tolerant control strategy for wind energy conversion system is proposed. Grey prediction model is introduced to diagnose the sensor fault. The Takagi-Sugeno (T-S) is adopted for modeling the wind energy conversion system and establishing fuzzy state feedback controller. When one of the sensors is failed, control action of the failed circuit is averagely shared by the remaining state feedback circuits, thus state feedback control-law is reconfigured. Experimental results show that when a sensor is failed, the system power coefficient and tip speed ratio can be still maintained at the optimal value under the rated wind speed, and the maximum wind energy capture could be realized.