基于加权遗传算法的旋转机械不平衡振动溯源定位方法研究

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (24) : 256-261.

论文

康敬欣1，石瑞玉1,2，潘鑫1,2

作者信息 +

Research on unbalance vibration traceability and positioning method of rotating machinery based on the weighted genetic algorithm

KANG Jingxin1, SHI Ruiyu1,2, PAN Xin1,2

Author information +

文章历史 +

摘要

针对高端旋转机械多平面多转速下的不平衡振动定位问题，提出一种基于加权遗传算法的转子不平衡溯源定位方法，并开发了一套不平衡溯源计算软件。该方法在遗传算法的基础上进行改进，增加了针对各测点各转速下振动的赋权过程，并分别在某双跨转子有限元模型以及某模拟发电机实验台上，通过将该方法与最小二乘法和遗传算法进行对比，进一步验证该改进方法的不平衡量溯源效果。仿真结果表明，该技术针对高权重测点处的溯源精度高于其余两种算法。在模拟发电机转子实验台上，应用该技术开展多平面多转速不平衡溯源定位实验。实验结果表明，基于加权遗传算法的溯源结果进行平衡后，高权重测点振幅降幅超过80%，降幅较其余两种算法有明显提升。综合仿真与实验结果，该方法较最小二乘法与遗传算法更有针对性及目的性。

Abstract

Aiming at the unbalance of rotating machinery under multi-plane and multi-speed, a new technology of rotor unbalance traceability and positioning based on weighted genetic algorithm is proposed, and a calculation software of unbalance traceability is developed. The technology is improved on the basis of genetic algorithm, process of weighting for vibration at each measuring point and rotating speed is added. The source of imbalance of a double-span rotor finite element model and a generator test bench is traced using least squares method and genetic algorithm, respectively. The traceability accuracy of this technology for high-weighted measuring points is higher than that of the other two methods. The technology is used to carry out the experiments of unbalance traceability and positioning of generator test bench in case of multi-plane and multi-speed. The amplitude of the high-weight measurement points decreased by more than 80% after balancing according to the results, which is significantly higher than the other two algorithms. Based on simulation and experimental results, the new technology is more targeted and purposeful than the least square method and genetic algorithm.

导出引用

康敬欣1，石瑞玉1,2，潘鑫1,2. 基于加权遗传算法的旋转机械不平衡振动溯源定位方法研究[J]. 振动与冲击, 2022, 41(24): 256-261

KANG Jingxin1, SHI Ruiyu1,2, PAN Xin1,2. Research on unbalance vibration traceability and positioning method of rotating machinery based on the weighted genetic algorithm[J]. Journal of Vibration and Shock, 2022, 41(24): 256-261

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