Modelling wear degradation in cylinder liners

dc.contributor.author	Hermann, Simone
dc.contributor.author	Ruggeri, Fabrizio
dc.date.accessioned	2016-01-26T11:41:02Z
dc.date.available	2016-01-26T11:41:02Z
dc.date.issued	2016
dc.description.abstract	We 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.uri	http://hdl.handle.net/2003/34473
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-16529
dc.language.iso	en	de
dc.relation.ispartofseries	Discussion Paper / SFB 823;6/2016	en
dc.subject	Bayesian inference	en
dc.subject	stochastic differential equations	en
dc.subject	Markov chain Monte Carlo	en
dc.subject	condition based maintenance	en
dc.subject.ddc	310
dc.subject.ddc	330
dc.subject.ddc	620
dc.title	Modelling wear degradation in cylinder liners	en
dc.type	Text	de
dc.type.publicationtype	workingPaper	de
dcterms.accessRights	open access

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