Low-end hardware in stress monitoring of CNC machines
Karioja, Konsta; Lajber, Kristóf; Juuso, Esko (2023-07-19)
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Sisältö avataan julkiseksi: 19.07.2025
Karioja, K., Lajber, K., Juuso, E. (2023). Low-End Hardware in Stress Monitoring of CNC Machines. In: Juuso, E., Galar, D. (eds) Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021. MCMD 2021. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-1988-8_8
© 2023 Springer Nature. This version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-981-99-1988-8_8. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
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https://urn.fi/URN:NBN:fi-fe20230824104208
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Abstract
Stress monitoring systems are not always included in machinery, and this might create a need for a retrofitted system. Programmable Logic Controller (PLC) units, mini PCs and other similar hardware are nowadays widely available at a reasonable price, which makes this type of hardware an interesting choice for retrofitted monitoring systems. However, the cheap price often comes with some drawbacks, e.g. relatively low computing power and low memory capacity. In this paper, we study how low-priced computers perform on tasks which might be required for vibration-based stress monitoring. In addition, we discuss a technique of vibration analysis, which could contribute to stress monitoring of Computer Numeric Control (CNC) machines in general. The target of the case study was a CNC machine for milling wood.
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