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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
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Gonzalez-Villagomez, J., Esau, G.-V., Mayer, J. R. R., Rodríguez-Donate, C., & Xing, K. (2025). Novel cylindrical representation of the STFT for signal analysis. Electronics Letters, 61(1), 4 pages. Available
Xing, K., Mayer, J. R. R., Bonev, I. A., Champliaud, H., & Liu, Z. (2024). Evaluation of the Positioning Accuracy Along Helical Paths Using a Telescoping Ballbar. ASME Letters in Dynamic Systems and Control, 4(1). External link
Esmaeili, S., Mayer, J. R. R., Sanders, M., Dahlem, P., & Xing, K. (2021). Five-axis machine tool volumetric and geometric error reduction by indirect geometric calibration and lookup tables. Journal of Manufacturing Science and Engineering, 143(7), 28 pages. External link
Xing, K., Mayer, J. R. R., & Achiche, S. (2020). Impact of Model Complexity in the Monitoring of Machine Tools Condition Using Volumetric Errors. International Journal of Automation Technology, 14(3), 369-379. External link
Hashemiboroujeni, H., Esmaeili Marzdashti, S., Xing, K., & Mayer, J. R. R. (2019). Five-axis machine tool coordinate metrology evaluation using the ball dome artefact before and after machine calibration. Journal of Manufacturing and Materials Processing, 3(1), 20 (12 pages). Available
Xing, K., Rimpault, X., Mayer, J. R. R., Chatelain, J.-F., & Achiche, S. (2019). Five-axis machine tool fault monitoring using volumetric errors fractal analysis. CIRP Annals, 168(1), 555-558. External link
Xing, K., Achiche, S., & Mayer, J. R. R. (2019). Five-axis machine tools accuracy condition monitoring based on volumetric errors and vector similarity measures. International Journal of Machine Tools & Manufacture, 138, 80-93. External link
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). Available
Xing, K., Rimpault, X., Mayer, J. R. R., Chatelin, J.-F., & Achiche, S. (2021, March). Quantitative assessment of machine tools precision states through fractal analysis of machine error parameters [Paper]. 14th International Conference & Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance (LAMDAMAP 2021) (10 pages). External link
Xing, K., Liu, X., Liu, Z., Mayer, J. R. R., & Achiche, S. (2020, October). Low-Cost Precision Monitoring System of Machine Tools for SMEs [Paper]. 8th CIRP Global Web Conference on Flexible Mass Customisation (CIRPe 2020). Published in Procedia CIRP, 96. External link
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. External link
Xing, K., Mayer, J. R. R., & Achiche, S. (2019, June). Application of EWMA control chart on volumetric errors change recognition [Paper]. Joint CSME-CFDSC International Congress, London, ON. External link
Xing, K., Achiche, S., & Mayer, J. R. R. (2018, December). The Effects of Machine Tool Pallet Change on Machine Tool Geometric Measurement Using the Scale and Master Ball Artefact Method (SAMBA) [Paper]. International Conference on Advances in Engineering Research and Application (ICERA 2018), Thai Nguyen, Vietnam. External link
Xing, K., Achiche, S., Esmaeili, S., & Mayer, J. R. R. (2018, October). Comparison of direct and indirect methods for five-axis machine tools geometric error measurement [Paper]. 6th CIRP Global Web Conference – Envisaging the future manufacturing, design, technologies and systems in innovation era (CIRPe 2018). Published in Procedia CIRP, 78. Available
Xing, K. (2019). Volumetric Error-Based Condition and Health Monitoring System for Machine-Tools [Ph.D. thesis, Polytechnique Montréal]. Available
