Abstract
The article proposes a model of the components of the subsystem for evaluating and monitoring the health of a CNC machine. A distinctive feature of the presented solution is that it is not limited to collecting diagnostic information from technological equipment and drawing up reports. Methods for the analysis of information have been developed that allow to determine the moment when the technical indicators of the machine mechanisms approach the permissible deviation or go beyond it, so that a decision can be made in a timely manner to maintain the machine’s operability and to exclude equipment breakdown. When constructing models of machine components, it is envisaged to use information obtained at different stages of the life cycle of a CNC machine, including such stages as design, manufacture, installation, and commissioning. In the structure of the remote monitoring system, the main components are highlighted in the form of specialized gateways for collecting data and cloud services for storing and analyzing the results. The performance check of the proposed solutions was carried out in the process of manufacturing parts on a 5-coordinate milling and machining center.
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The reported study was funded by RFBR according to the research project № 20-07-00305\20.
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All authors took part in the work. Liliya I. Martinova—project manager and development of the concept and structure of the machine health assessment system; Nikolay V. Kozak—development of structure components; Ilya A. Kovalev—development of data acquisition algorithms; Alexandr B. Lyubimov—execution and description of the experiments and analysis of the results.
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Martinova, L.I., Kozak, N.V., Kovalev, I.A. et al. Creation of CNC system’s components for monitoring machine tool health. Int J Adv Manuf Technol 117, 2341–2348 (2021). https://doi.org/10.1007/s00170-021-07107-1
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DOI: https://doi.org/10.1007/s00170-021-07107-1