Multiscale Modeling of Wear Degradation
dc.contributor.author | Moraes, Alvaro | |
dc.contributor.author | Ruggeri, Fabrizio | |
dc.contributor.author | Tempone, Raul | |
dc.contributor.author | Vilanova, Pedro | |
dc.date.accessioned | 2017-06-08T06:32:26Z | |
dc.date.available | 2017-06-08T06:32:26Z | |
dc.date.issued | 2016-01-06 | |
dc.identifier.uri | http://hdl.handle.net/10754/624795 | |
dc.description.abstract | Cylinder liners of diesel engines used for marine propulsion are naturally subjected to a wear process, and may fail when their wear exceeds a specified limit. Since failures often represent high economical costs, it is utterly important to predict and avoid them. In this work [4], we model the wear process using a pure jump process. Therefore, the inference goal here is to estimate: the number of possible jumps, its sizes, the coefficients and the shapes of the jump intensities. We propose a multiscale approach for the inference problem that can be seen as an indirect inference scheme. We found that using a Gaussian approximation based on moment expansions, it is possible to accurately estimate the jump intensities and the jump amplitudes. We obtained results equivalent to the state of the art but using a simpler and less expensive approach. | |
dc.subject | Bayesian | |
dc.title | Multiscale Modeling of Wear Degradation | |
dc.type | Poster | |
dc.contributor.department | Applied Mathematics and Computational Science Program | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.conference.date | January 5-10, 2016 | |
dc.conference.name | Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016) | |
dc.conference.location | KAUST | |
dc.contributor.institution | Istituto di Matematica Applicata e Tecnologie Informatiche | |
kaust.person | Moraes, Alvaro | |
kaust.person | Tempone, Raul | |
kaust.person | Vilanova, Pedro | |
refterms.dateFOA | 2018-06-13T12:11:06Z |
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Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)