Kanglin Xing, Xavier Rimpault, J. R. René Mayer, Jean-François Chatelain and Sofiane Achiche
Paper (2019)
An external link is available for this itemDepartment: | Department of Mechanical Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/45171/ |
Conference Title: | 7th CIRP Global Web Conference (CIRPe 2019) |
Conference Location: | Berlin, Germany |
Conference Date(s): | 2019-10-16 - 2019-10-19 |
Journal Title: | Procedia CIRP (vol. 86) |
Publisher: | Elsevier B.V. |
DOI: | 10.1016/j.procir.2020.01.033 |
Official URL: | https://doi.org/10.1016/j.procir.2020.01.033 |
Date Deposited: | 18 Apr 2023 15:01 |
Last Modified: | 25 Sep 2024 16:32 |
Cite in APA 7: | Xing, K., Rimpault, X., Mayer, J. R. R., Chatelain, J.-F., & Achiche, S. (2019, October). Quantitative assessment of machine tools condition through fractal analysis of volumetric error vector similarity measures [Paper]. 7th CIRP Global Web Conference (CIRPe 2019), Berlin, Germany. Published in Procedia CIRP, 86. https://doi.org/10.1016/j.procir.2020.01.033 |
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