With the promotion of "Made in China 2025", the supply in industrial power is in a growing demand for large aluminum electrolytic capacitors. Capacitor failure can interrupt the industrial assembly line, causing a great loss. The prediction of RUL (Remaining Useful Life) of industrial capacitors is hence very important. In this paper, based on the analysis of the EIS of the aluminum electrolytic capacitor, a quantitative model of the state of the capacitor is established. Based on the quantitative data, the degradation prediction model of ARMA capacitor degradation is established. Finally, the equivalent series resistance EIS spectrum data set was verified by NASA. The results show that the short term ARMA capacitor degradation model is accurate in the prediction of the state of aluminum electrolytic capacitors.