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
1.College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China;
2.Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical Equipment,Beijing University of Chemical Technology, Beijing 100029, China
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.
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. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(24): 256-261.
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