RAMS Analysis of Hybrid Redundancy System of Subsea Blowout Preventer Based on Stochastic Petri Nets

This paper presents the stochastic Petri net (SPN) model of the hybrid redundancy system. The capacity of fault detection is taken into account in the model. Besides, the method to perform reliability, availability, maintainability and safety (RAMS) analysis has been proposed based on the isomorphic Markov chain of the SPN model. The presented methodology is demonstrated by a case study of the output subsystem of the subsea blowout preventer. RAMS analysis of the presented case is conducted and the effects of the diagnostic rate and repair rate on the performance are studied. The results show that high diagnostic rate can improve the reliability, availability and safety of the system.