Abstract
In this chapter, a stochastic process-based approach is adopted to formulate the reliability function for cylinder liners of diesel engines used for marine propulsion, which fail when their wear exceeds a specified limit. In order to describe the wear process, three different stochastic models are proposed. The first two are based on age-dependent processes, namely a shock model with independent nonstationary increments and a gamma process. The third model is based on a state-dependent homogeneous Markov chain. All of these models have been applied to the analysis of a real case study relating to the cylinder liners of some diesel engines used in ships of the Grimaldi Group.
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