OBRABOTKAMETALLOV Vol. 26 No. 3 2024 113 TECHNOLOGY Mashinostroenie = Proceedings of Higher Educational Institutions. Маchine Building, 2019, no. 3, pp. 11–20. DOI: 10.18698/0536-1044-2019-3-11-20. 76. GimadeevM.R., LiA.A. Tool conditionmonitoring techniques for milling. Proceedings of the 9th International Conference on Industrial Engineering. ICIE 2023. Cham, Springer, 2023, pp. 698–707. DOI: 10.1007/978-3-03138126-3_69. 77. Gowid S., Dixon R., Ghani S. A novel robust automated FFT-based segmentation and features selection algorithm for acoustic emission condition based monitoring systems. Applied Acoustics, 2015, vol. 88, pp. 66–74. DOI: 10.1016/j.apacoust.2014.08.007. Confl icts of Interest The authors declare no confl ict of interest. Claimed contribution of co-authors: Gimadeev M.R. – formulation of the basic concept of the study, conducting experiments, preparing the text of the paper and drawing conclusions, presenting the research results in graphs, searching for analytical materials in domestic and foreign sources, preparing a literature review; Stelmakov V.A. – planning the experiment, conducting experiments, conducting analysis and preparing initial conclusions; Shelenok E.A. – conducting a critical analysis of materials and drawing conclusions, participating in the discussion of the paper materials, analyzing and supplementing the text of the paper. © 2024 The Authors. Published by Novosibirsk State Technical University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0).
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