Lifetime prediction of ship EPR cable under two factors based on retention rate of hardness

It is well known that cable plays a paramount role for transmission and distribution networks in ship power system. This paper tries to propose a two-factor lifetime prediction model for ship ethylene propylene rubber (EPR) cable under the influence of temperature and oil mist concentration. To achieve this goal, particle swarm optimization (PSO) is used to determine the optimal time temperature translation factor. Subsequently, the relationship between retention rate of hardness (RRH) and retention rate of elongation at break (EAB) is constructed by main curve fitting. Based on 50% of EAB, 15.1714% of RRH is considered as the end of life (EOL). On the basis, a two-factor prediction model based on RRH is established. Finally, the model is applied to assess the lifetime of ship EPR cable. The proposed two-factor model can realize rapid online detection of cable life, and ensure the prediction results are more in line with the real-life operation condition. The prediction results can provide theoretical guidance for the replacement and maintenance of ship cable, and ensure the safety of ship navigation. Note that the method discussed in this paper can also achieve remaining useful life (RUL) prediction and be extended to other different types of ship cables.