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https://hdl.handle.net/10216/109863
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DC Field | Value | Language |
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dc.creator | João Reis | |
dc.creator | Gil Manuel Gonçalves | |
dc.creator | Norbert Link | |
dc.date.accessioned | 2022-09-13T14:20:35Z | - |
dc.date.available | 2022-09-13T14:20:35Z | - |
dc.date.issued | 2017-11-01 | |
dc.identifier.other | sigarra:239581 | |
dc.identifier.uri | https://hdl.handle.net/10216/109863 | - |
dc.description.abstract | The present paper details a novel methodology called Meta-Process Model that is able to generate new data-based models for manufacturing processes when no experimental data is available. For that purpose, the concept of Hyper-Models was used to create a higher level of abstraction of these manufacturing processes, along with a Statistical Shape Model (SSM) that is able to capture the modes of shape variations and build up a deformable model to generate new shapes. The main premise of the present work is to interpret a process model as a n-dimensional shape and use SSM to capture the variations among a set of different process models. This methodology is evaluated by using two already existing process models for a model generalization, from which a new process model is derived just with new, given process conditions. This new process model is then compared with a process model, which was independently estimated using real experimental data acquired under the same process conditions. The results show that a previously nonexistent process model that captures the dynamics of the real process can be generated, even when there's no experimental data and only the new process conditions are available. | |
dc.language.iso | eng | |
dc.relation.ispartof | IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | |
dc.rights | restrictedAccess | |
dc.title | Meta-process modeling methodology for process model generation in intelligent manufacturing | |
dc.type | Artigo em Livro de Atas de Conferência Internacional | |
dc.contributor.uporto | Faculdade de Engenharia | |
dc.identifier.doi | 10.1109/iecon.2017.8216575 | |
dc.identifier.authenticus | P-00N-J5X | |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
Files in This Item:
File | Description | Size | Format | |
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239581.pdf Restricted Access | 1.23 MB | Adobe PDF | Request a copy from the Author(s) |
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