Vision-Based Vibration Detection of Rotating Shaft with Assistance of Fringer Stripes
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49413-0_47
Reference17 articles.
1. Xu, Y., et al.: Orthogonal on-rotor sensing vibrations for condition monitoring of rotating machines. J. Dyn. Monit. Diagnostics 1(1), 29–36 (2021). https://doi.org/10.37965/jdmd.v2i2.47
2. Li, C., Zou, Z., Lu, K., Wang, H., Cattley, R., Ball, A.D.: Assessment of a three-axis on-rotor sensing performance for machining process monitoring: a case study. Sci. Rep. 12(1), 1–12 (2022). https://doi.org/10.1038/s41598-022-21415-w
3. Li, C., Li, B., Gu, L., Feng, G., Gu, F., Ball, A.D.: Online monitoring of a shaft turning process based on vibration signals from on-rotor sensor. In: Proceedings 2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing WCMEIM, pp. 402–407 (2020). https://doi.org/10.1109/WCMEIM52463.2020.00091
4. Lin, Y., et al.: Experimental Investigation on the Propeller Imbalance Detection via On-Rotor Sensing Vibration for Industrial Drone, vol. 129 MMS. Springer Nature Switzerland (2023)
5. Wu, K., et al.: Vibration responses of rotor systems in diesel multiple units under dynamic spatial misalignments and base motions. J. Sound Vib. 492, 115817 (2021). https://doi.org/10.1016/j.jsv.2020.115817
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