RELIABILITY STOCHASTIC MODELING FOR REPAIRABLE PHYSICAL ASSETS. CASE STUDY APPLIED TO THE CHILEAN MINING

Abstract

The reliability modelling, calculating and projecting for industrial equipment and systems are today a basic and fundamental task for reliability and maintenance engineers, regardless of the nature or genetics of those industrial assets. In this paper, the stochastic models PRP, NHPP and GRP are explained in detail with the corresponding conceptual, mathematical and stochastic development. For each model, the respective conceptualization and parameterization is analysed in detail. The practical application is developed for a real case in the mining industry, which shows step by step the appropriate stochastic and mathematical development. Finally, this research becomes an analytical and explanatory procedure on the definition, calculation, methodology and criteria to be considered for industrial assets parameterization with partial or null post maintenance degradation. Key Words: Reliability, Degradation, Repairable Assets, Simulation.