This study utilizes genetic algorithm to minimize the condition number of Hermitian matrix of influence coefficient (HMIC) to reduce the computation errors in balancing procedure. Then, the optimal locations of balancing planes and sensors would be obtained as fulfilling optimization. The finite element method is used to determine the steady-state response of flexible rotor-bearing systems. The optimization improves the balancing accuracy, which can be validated by the experiments of balancing a rotor kit.
An Investigation in Optimal Locations by Genetic Algorithm for Balancing Flexible Rotor-Bearing Systems
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Lin, T, Kang, Y, Wang, C, Chang, C, & Chiang, C. "An Investigation in Optimal Locations by Genetic Algorithm for Balancing Flexible Rotor-Bearing Systems." Proceedings of the ASME Turbo Expo 2005: Power for Land, Sea, and Air. Volume 4: Turbo Expo 2005. Reno, Nevada, USA. June 6–9, 2005. pp. 899-906. ASME. https://doi.org/10.1115/GT2005-69048
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