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Stochastic Processes for Modeling the Wear of Marine Engine Cylinder Liners

In: Statistics for Innovation

Author

Listed:
  • Massimiliano Giorgio

    (Second University of Naples, Department of Aerospatial and Mechanical Engineering)

  • Maurizio Guida

    (University of Salerno, Department of Information Engineering and Electrical Engineering)

  • Gianpaolo Pulcini

    (National Research Council, Istituto Motori)

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.

Suggested Citation

  • Massimiliano Giorgio & Maurizio Guida & Gianpaolo Pulcini, 2009. "Stochastic Processes for Modeling the Wear of Marine Engine Cylinder Liners," Springer Books, in: Pasquale Erto (ed.), Statistics for Innovation, chapter 0, pages 213-230, Springer.
    • Handle: RePEc:spr:sprchp:978-88-470-0815-1_12
    DOI: 10.1007/978-88-470-0815-1_12
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