A Machine Learning Perspective for Vibration Sensing and Identification of Modal Parameters of Electromechanical Equipment Using a Mach-Zehnder Interferometer

Author:

Muhammad Khalid Sabo,Jiraraksopakun Yuttapong,Bhatranand Apichai,Usman Abdullahi

Publisher

Springer Science and Business Media LLC

Reference20 articles.

1. R. A. Dias and P. Von Hertwig, International Journal of Computer Applications (0975 – 8887) Volume 175–No. 12 (2020). DOI: https://doi.org/10.5120/ijca2020920625.

2. M. D. Limov, M. N. Osipov, and R. N. Sergeev, Int. Conf. DVM, IEEE (2022). https://doi.org/10.1109/DVM55487.2022.9930891.

3. S. Rosbi et al., Proceedings of International Conference on Applications and Design in Mechanical Engineering (ICADME), Batu Ferringhi, Penang, MALAYSIA (2009). https://www.researchgate.net/publication/267860872.

4. W. Cai and P. Pillay, IEEE transactions on energy conversion, Vol. 16, No. 1, (2001). Publisher Item Identifier S 0885-8969(01)02654-7.

5. W. Cai, P. Pillay, Z. Tang, and A. Omekanda, in: Proc. IEEE IEMDC 2001, 576, Cambridge (2001). https://doi.org/10.1109/IEMDC.2001.939369.

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