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中文摘要：
颤动动态特征是在建模和大水疗院发电机的机械分析的一个主要问题。一个算法为识别颤动被开发借助于混合基因算法的动态特征。从一个水疗院发电机的测量动态回答，一个适当评价算法被需要识别装载参数，包括颤动的主要频率和振幅力量。以便以一种有效、柔韧的方式识别参数，一个优化方法被建议那把基因算法与退火模仿和优秀人材策略相结合。混合基因算法然后被用来处理参数鉴定，建议优化方法的有效性被它的比较与实际观察数据在证实的一个提出病的问题。
英文摘要：
Vibration dynamic characteristics have been a major issue in the modeling and mechanical analysis of large hydro generators. An algorithm is developed for identifying vibration dynamic characteristics by means of hybrid genetic algorithm. From the measured dynamic responses of a hydro generator, an appropriate estimation algorithm is needed to identify the loading parameters, including the main frequencies and amplitudes of vibrating forces. In order to identify parameters in an efficient and robust manner, an optimization method is proposed that combines genetic algorithm with simulated annealing and elitist strategy. The hybrid genetic algorithm is then used to tackle an ill-posed problem of parameter identification, in which the effectiveness of the proposed optimization method is confirmed by its comparison with actual observation data.
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