Aiming at the problem that a single sensor cannot perform degradation modeling and remaining useful life prediction well during equipment condition monitoring,a method based on multi-sensor data is proposed for predicting the remaining useful life.First,a composite health index is constructed based on the degradation performance of the device.Then,the degradation of the device is modeled by using a nonlinear drift Wiener process.After estimating the model parameters by using the maximum likelihood method,the Probability Density Function(PDF)of the remaining useful life of the device is derived.Finally,the proposed method is evaluated and compared with the single sensor prediction results.The results show that this method has higher accuracy.