For the sensors failure of vibration control system in the huge engineering structure, the methods of dynamic characteristic identification and sensor failure detection of control system are proposed based on multi-channel RBF neural network, then the smart active fault tolerant control algorithm is presented for the huge engineering structure. The mutual interference of normal sensor and failure sensor in the process of sensor failure detection is solved by separating the sensor feedback signals as multi-channel signal to dynamic characteristic identification. When sensors are work normally, the controller calculates the control force according to the preset control algorithm. When any sensor fails, the control system will get rid of the failure sensor signal automatically and controller will switch to the control algorithm which considers this sensor failure. The effectiveness and superiority of sensor failure detection strategy and smart active fault control algorithm based on multi-channel RBF neural network presented by author are proved by the simulation of Benchmark model controlled by AMD under earthquake.