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Optimal balancing of flexible rotors by minimizing the condition number of influence coefficients

机译:通过最小化影响系数的条件数来实现柔性转子的最佳平衡

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摘要

The Hermitian matrix of influence coefficients is one indicator of a balancing experiment's overall effectiveness. The condition number of this matrix is determined by the sensor locations and balancing planes selected for the balancing procedure. In this research, we use finite element analysis to simulate the balancing of flexible rotor-bearing systems under various arrangements of sensors and planes. The condition number turns out to be inversely related to the accuracy of the balancing and directly related to the sum of correction masses; in other words, the accuracy and efficiency of rotor balancing can be improved by selecting sensor locations and balancing planes which reduce the condition number. This result is validated by experimental measurements of a physical rotor system.
机译:影响系数的埃尔米特矩阵是平衡实验整体效果的指标之一。该矩阵的条件编号由传感器位置和为平衡过程选择的平衡平面确定。在这项研究中,我们使用有限元分析来模拟在各种传感器和平面布置下柔性转子轴承系统的平衡。条件数与平衡的精度成反比,与校正质量的总和成正比。换句话说,通过选择减少条件数量的传感器位置和平衡平面可以提高转子平衡的精度和效率。该结果通过物理转子系统的实验测量得到验证。

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