基于遗传算法的水轮机振动参数识别

通过对水轮机现场测试数据的频域分析，建立了测点位移响应的参数正模型。并基于遗传算法，建立了在时域内识别结构振动参数的数值方法，采用该方法对水轮机位移响应正模型的待定参数识别进行了研究。计算结果表明，所建立的基于遗传算法的参数识别方法具有良好的稳定性、抗观测噪声能力和较高的识别精度，能够反演出比较符合实际情况的位移响应振动模型。这就为荷载识别、结构优化和预报减震效果等后续工作提供了可靠的实施前提。

Vibration parameters identification of hydraulic turbine based on genetic algorithm

A direction model of displacement response was established by the Fourier analysis to measured data. And based on the genetic algorithm, the parameter identification procedure put forward in the time domain was applied to study the vibration parameters identification of displacement reponse of the hydraulic turbine. The computational results indicate that the procedure has better stability and ability to resist measurement noises, and better identification precision, by which the satisfied vibration model can be set up. Furthermore, the post steps, such as the loading identification, optimum structure and prediction of damping of vibration effect etc., can be implemented reliably.