The present work is an alternative methodology in order to balance an unsymmetrical damped highly flexible rotor by using neural networks. This procedure was developed aiming at improving the performance of classical balancing methods, which are not well adapted to these situations. The approach developed is based on the influence coefficient method and is adequate to integrate an active balancing system. The methodology is tested successfully experimentally.
- Design Engineering Division and Computers and Information in Engineering Division
Balancing of a Highly Flexible Rotor by Using Artificial Neural Networks
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Villafan˜e Saldarriaga, M, Mahfoud, J, Steffen, V, Jr., & Der Hagopian, J. "Balancing of a Highly Flexible Rotor by Using Artificial Neural Networks." Proceedings of the ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1: 21st Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C. Las Vegas, Nevada, USA. September 4–7, 2007. pp. 1093-1099. ASME. https://doi.org/10.1115/DETC2007-34176
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