The existing particle filter fault prediction method is the corresponding time's predictive value obtained from particle filter algorithm. The particle filter algorithm predicts the system fault by comparison of the predict value and actual value. This paper designs a new method identifying the function of system equipment. By analysis of the normal working equipment's time-series data and abnormal data, it can predict the potential system fault. Experimental results demonstrate the feasibility of this method and the accuracy of predicting system fault.