Automatic detection of defective crankshafts by image analysis and supervised classification
Publication date:
2019
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Citación:
International Journal of Advanced Manufacturing Technology (2019); doi:10.1007/s00170-019-03819-7
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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).
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