Modelling wear degradation in cylinder liners

dc.contributor.authorHermann, Simone
dc.contributor.authorRuggeri, Fabrizio
dc.date.accessioned2016-01-26T11:41:02Z
dc.date.available2016-01-26T11:41:02Z
dc.date.issued2016
dc.description.abstractWe present and discuss a stochastic model describing the wear process of cylinder liners in a marine diesel engine. The model is based on a stochastic differential equation and Bayesian inference is illustrated. Corrosive action and measurement error, both quite negligible, are modeled with a Wiener process whereas a jump process is used to describe the contribution of soot particles to the wear process. The model can be used to forecast the wear process and, consequently, plan condition based maintenance activities. In the paper, we provide a critical illustration of the mathematical and computational aspects of the model. We propose a strategy that, implemented for simulated and real data, allows for stable parameter estimation and forecasts.en
dc.identifier.urihttp://hdl.handle.net/2003/34473
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-16529
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823;6/2016en
dc.subjectBayesian inferenceen
dc.subjectstochastic differential equationsen
dc.subjectMarkov chain Monte Carloen
dc.subjectcondition based maintenanceen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleModelling wear degradation in cylinder linersen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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