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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: | http://urn.fi/urn:nbn:fi-fe20230824104208 |
| Language: | English |
| Published: |
Springer Nature,
2023
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| Publish Date: | 2025-07-19 |
| Description: |
AbstractStress 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. see all
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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 |
| OADOI: | https://oadoi.org/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 |
| Subjects: | |
| 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: 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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