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A new shaft multi-objective optimization dynamic balancing method based on differential search algorithm

机译:基于差分搜索算法的轴多目标优化动平衡新方法

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摘要

Combined with the influence coefficient methods and the Holo-balancing theory of shaft system, a new shaft multi-objective optimization dynamic balancing method including energy, uniformity and maximum of the residual vibration is proposed by building a multi-objective fuzzy evaluation function and application of Differential Search (DS) algorithm.The advantage of DS algorithm is studied by comparing with four other optimization algorithms.And the principle of balancing weight optimization of DS algorithm is studied to realize the shaft dynamic balancing.Finally, the validity and effectiveness of the proposed method is verified through a field power generator set balancing case.
机译:结合影响系数法和竖井系统的Holo平衡理论,通过建立多目标模糊评价函数,提出了一种新的包括能量,均匀性和残余振动最大值的竖井多目标优化动平衡方法。差分搜索(DS)算法。通过与其他四种优化算法进行比较来研究DS算法的优势,并研究了DS算法的平衡权重优化原理以实现轴动态平衡。最后,本文提出的有效性和有效性通过现场发电机组平衡情况验证了该方法。

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