University of Oulu

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.

Low-end hardware in stress monitoring of CNC machines

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Author: Karioja, Konsta1; Lajber, Kristóf2; Juuso, Esko3
Organizations: 1Intelligent Machines and Systems, University of Oulu, PO Box 4200, FI-90014, Oulu, Finland
2Faculty of Informatics, Savaria Institute of Technology, ELTE, Eötvös Loránd University, Budapest, Hungary
3Control Engineering, University of Oulu, PO Box 4300, FI-90014, Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link:
Language: English
Published: Springer Nature, 2023
Publish Date: 2025-07-19


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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Series: Lecture notes in mechanical engineering
ISSN: 2195-4356
ISSN-L: 2195-4356
ISBN: 978-981-99-1988-8
ISBN Print: 978-981-99-1987-1
Pages: 97 - 108
DOI: 10.1007/978-981-99-1988-8_8
Host publication: Proceedings of the 5th International Conference on Maintenance, Condition Monitoring and Diagnostics 2021
Host publication editor: Juuso, Esko
Galar, Diego
Conference: Conference on Maintenance, Condition Monitoring and Diagnostics
Type of Publication: A4 Article in conference proceedings
Field of Science: 214 Mechanical engineering
Funding: The project has been supported by the European Union, co-financed by the European Social Fund. EFOP-3.6.1-16-2016-00023.
Copyright information: © 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: Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use