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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Giorgio, M., Guida, M., Pulcini, G. (2009). Stochastic Processes for Modeling the Wear of Marine Engine Cylinder Liners. In: Erto, P. (eds) Statistics for Innovation. Springer, Milano. https://doi.org/10.1007/978-88-470-0815-1_12
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DOI: https://doi.org/10.1007/978-88-470-0815-1_12
Publisher Name: Springer, Milano
Print ISBN: 978-88-470-0814-4
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