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Bitar-Nehme, E., & Mayer, J. R. R. (2018). Modelling and compensation of dominant thermally induced geometric errors using rotary axes power consumption. CIRP Annals, 67(1), 547-550. Lien externe
Los, A., & Mayer, J. R. R. (2018). Application of the adaptive Monte Carlo method in a five-axis machine tool calibration uncertainty estimation including the thermal behavior. Precision Engineering, 53, 17-25. Lien externe
Rimpault, X., Bitar-Nehme, E., Balazinski, M., & Mayer, J. R. R. (2018). Online monitoring and failure detection of capacitive displacement sensor in a Capball device using fractal analysis. Measurement: Journal of the International Measurement Confederation, 118, 23-28. Lien externe
Xing, K., Mayer, J. R. R., & Achiche, S. (2018). Machine tool volumetric error features extraction and classification using principal component analysis and K-means. Journal of Manufacturing and Materials Processing, 2(3). Disponible
Xing, K., Achiche, S., Esmaeili, S., & Mayer, J. R. R. (octobre 2018). Comparison of direct and indirect methods for five-axis machine tools geometric error measurement [Communication écrite]. 6th CIRP Global Web Conference – Envisaging the future manufacturing, design, technologies and systems in innovation era (CIRPe 2018). Publié dans Procedia CIRP, 78. Disponible
Mayer, J. R. R. (2018). Resistive Displacement Sensors. Dans Webster, J. G., & Eren, H. (édit.), Measurement, Instrumentation, and Sensors Handbook (2e éd., p. 345-358). Lien externe