Failure modeling of an electrical N-component framework by the non-stationary Markovian arrival process

This paper considers the non-stationary version of the Markovian arrival process to model the failures of N electrical components that are considered to be identically distributed, but for which it is not reasonable to assume that the operational times related to each component are independent or identically distributed. We propose a moment matching estimation approach to fit the data via a non-stationary Markovian arrival process. A simulated and a real data set provided by the Spanish electrical group Iberdrola are presented to illustrate the approach.