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Automatic detection of defective crankshafts by image analysis and supervised classification
| dc.contributor.author | Remeseiro López, Beatriz | |
| dc.contributor.author | Tarrío Saavedra, J. | |
| dc.contributor.author | Francisco Fernández, M. | |
| dc.contributor.author | Penedo, M .G. | |
| dc.contributor.author | Naya, S. | |
| dc.contributor.author | Cao, R. | |
| dc.date.accessioned | 2019-11-14T10:21:35Z | |
| dc.date.available | 2019-11-14T10:21:35Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | International Journal of Advanced Manufacturing Technology (2019); doi:10.1007/s00170-019-03819-7 | |
| dc.identifier.issn | 0268-3768 | |
| dc.identifier.uri | http://hdl.handle.net/10651/52975 | |
| dc.description.sponsorship | This work has been partially supported by the Xunta de Galicia (Centro Singular de Investigaciòn de Galicia ED431G/01). Additionally, the research of Ricardo Cao, Mario Francisco-Fernández, Salvador Naya and Javier Tarrío Saavedra has been partially supported by MINECO grants MTM2014-52876-R and MTM2017-82724-R, and by the Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2016-015); whilst the research of Manuel G. Penedo has been partially supported by grants Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2016-047), all the previous grants through the ERDF. This work has been also supported by FORJACEMIC project (Research into new processes and microalloyed steels for hot forging of automotive crankshafts). | |
| dc.language.iso | eng | |
| dc.relation.ispartof | International Journal of Advanced Manufacturing Technology | |
| dc.rights | © Springer-Verlag London Ltd., part of Springer Nature 2019 | |
| dc.rights | This is a post-peer-review, pre-copyedit version of an article published in International Journal of Advanced Manufacturing Technology. The final authenticated version is available online at: http://dx.doi.org/10.1007/s00170-019-03819-7 | |
| dc.source | Scopus | |
| dc.source.uri | https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85066053321&doi=10.1007%2fs00170-019-03819-7&partnerID=40&md5=9db2d28fe083d1a7d12048351ba30533 | |
| dc.title | Automatic detection of defective crankshafts by image analysis and supervised classification | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1007/s00170-019-03819-7 | |
| dc.relation.projectID | MINECO/MTM2014-52876-R | |
| dc.relation.projectID | MINECO/MTM2017-82724-R | |
| dc.relation.publisherversion | http://dx.doi.org/10.1007/s00170-019-03819-7 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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