Abstract
This paper describes the methodology and results of research on distinguishing the rotation speed of a CNC machine spindle with the help of ultrasonic signal as well as a classifier created with the help of neural networks. Tests were carried out on laboratory object in real-time. Achieved research results are very good, and developed possible solutions for use in industry and education. The article describes the problems and the methodology of achieved research, indicates the used hardware and software solutions, as well as an analysis of the results.
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Piecuch, G. (2020). Rotation Speed Detection of a CNC Spindle Based on Ultrasonic Signal. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2019. AUTOMATION 2019. Advances in Intelligent Systems and Computing, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-030-13273-6_56
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DOI: https://doi.org/10.1007/978-3-030-13273-6_56
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