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dc.contributor.authorMoraes, Alvaro
dc.contributor.authorRuggeri, Fabrizio
dc.contributor.authorTempone, Raul
dc.contributor.authorVilanova, Pedro
dc.date.accessioned2015-05-26T06:58:36Z
dc.date.available2015-05-26T06:58:36Z
dc.date.issued2014-03-20
dc.identifier.citationMultiscale Modeling of Wear Degradation in Cylinder Liners 2014, 12 (1):396 Multiscale Modeling & Simulation
dc.identifier.issn1540-3459
dc.identifier.issn1540-3467
dc.identifier.doi10.1137/130927024
dc.identifier.urihttp://hdl.handle.net/10754/555761
dc.description.abstractEvery mechanical system is naturally subjected to some kind of wear process that, at some point, will cause failure in the system if no monitoring or treatment process is applied. Since failures often lead to high economical costs, it is essential both to predict and to avoid them. To achieve this, a monitoring system of the wear level should be implemented to decrease the risk of failure. In this work, we take a first step into the development of a multiscale indirect inference methodology for state-dependent Markovian pure jump processes. This allows us to model the evolution of the wear level and to identify when the system reaches some critical level that triggers a maintenance response. Since the likelihood function of a discretely observed pure jump process does not have an expression that is simple enough for standard nonsampling optimization methods, we approximate this likelihood by expressions from upscaled models of the data. We use the Master Equation (ME) to assess the goodness-of-fit and to compute the distribution of the hitting time to the critical level.
dc.publisherSociety for Industrial & Applied Mathematics (SIAM)
dc.relation.urlhttp://epubs.siam.org/doi/abs/10.1137/130927024
dc.rightsArchived with thanks to Multiscale Modeling & Simulation
dc.subjectpure jump processes
dc.subjectmultiscale approximation
dc.subjectndirect inference
dc.subjectwear processes
dc.subjectMaster Equation
dc.titleMultiscale Modeling of Wear Degradation in Cylinder Liners
dc.typeArticle
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalMultiscale Modeling & Simulation
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionConsiglio Nazionale delle Ricerche, Istituto di Matematica Applicata e Tecnologie Informatiche, Milano, Italy
kaust.personMoraes, Alvaro
kaust.personTempone, Raul
kaust.personVilanova, Pedro
refterms.dateFOA2018-06-14T07:55:02Z
dc.date.published-online2014-03-20
dc.date.published-print2014-01


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