Quantitative assessment of machine tools condition through fractal analysis of volumetric error vector similarity measures

Kanglin Xing, Xavier Rimpault, J. R. René Mayer, Jean-François Chatelain and Sofiane Achiche

Paper (2019)

An external link is available for this item

Department:	Department of Mechanical Engineering
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:	08 Apr 2025 12:24

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
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only