Reliability assessment of distribution power repairable systems using NHPP

Generally, stochastic point processes are employed in reliability analysis of repairable systems. However, when failures and reparations of these systems occur in a non-stationary trend over time, for example due to aging, it is required to use non-homogeneous Poisson process. In this paper, it is presented a general methodology for reliability assessment of repairable systems using non-homogeneous Poisson process. The methodology uses sequential Monte Carlo simulation and is applied to a power distribution test system affected by adverse weather conditions and aging of its components. As a conclusion, it was found non-homogeneous Poisson process is an excellent tool for modeling the reliability of repairable systems when it is required to consider realistic conditions in the analysis.