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The ageing process of medium voltage power connectors can  lead to  important power system faults. An on‐line prediction of the remaining useful life (RUL) is a convenient strategy to prevent such  failures,  thus easing  the application of predictive maintenance plans. The electrical resistance of the connector is the most widely used health indicator for condition monitoring and RUL prediction, even though its measurement is a challenging task because of its low value, which typically falls in the range of a few micro‐ohms. At the present time, the RUL of power connectors is  not  estimated,  since  their  electrical  parameters  are  not monitored  because medium  voltage connectors  are  considered  cheap  and  secondary devices  in power  systems, despite  they play  a critical role, so  their  failure can  lead to  important power flow  interruptions with  the consequent safety  risks and economic  losses. Therefore,  there  is an  imperious need  to develop on‐line RUL prediction strategies. This paper develops an on‐line method to solve this issue, by predicting the RUL of medium voltage connectors based on the degradation trajectory of the electrical resistance, which  is  characterized  by  analyzing  the  electrical  resistance  time  series  data  by means  of  the autoregressive integrated moving average (ARIMA) method. The approach proposed in this paper allows applying predictive maintenance plans, since the RUL enables determining when the power connector must be replaced by a new one. Experimental results obtained from several connectors illustrate the feasibility and accuracy of the proposed approach for an on‐line RUL prediction of power connectors.

Time Series RUL Estimation of Medium Voltage Connectors to Ease Predictive Maintenance Plans