【摘要】 振动是影响水力机组安全稳定运行的重要影响因素,为此基于GA-BP算法建立了机组振动预测模型,统筹水力机组运行过程中受机械、水力和电磁等因素的关联性影响,结合广东省某水电站~#1机组状态监测数据进行分析验证。结果表明,与传统BP算法相比,在对~#1机组主轴、上机架振动预测中,GA-BP算法训练迭代步数分别从26步减少至6步和63步减少至26步,预测平均相对误差分别从10.18%减小至4.62%和11.42%减小至4.92%,模型的预测性能获得显著提高,为保障机组安全运行提供了重要的技术支撑。更多还原

【Abstract】 Vibration is an important factor affecting the safe and stable operation of hydraulic units.Based on the GABP algorithm,this paper establishes the vibration prediction model of the unit.Taking into account the influence of mechanical,hydraulic and electromagnetic factors during the operation of the unit,~#1 unit state of a hydropower station in Guangdong Province is analyzes using the monitoring data.Compared with the traditional BP algorithm,the results show that the GA-BP algorithm is used to predict the vibration of the main shaft and upper frame of~#1 unit,and the training iteration is reduced from 26 steps to 6 steps,and from 63 steps to 26 steps,respectively;Meanwhile,the average relative error of prediction is reduced from 10.18%to 4.62%,and from 11.42%to 4.92%,respectively.The prediction performance of the model is significantly improved,which can provide important technical support for the safe operation of the unit.更多还原