【作者】 仉培强； 柳亦兵；

【Author】 Zhang Peiqiang;Liu Yibing;Beijing General Research Institute of Mining and Metallurgy;North China Electric Power University;

【机构】 北京矿冶研究总院； 华北电力大学；

【摘要】 机械系统的动态特性是反映设备运行的重要指标,掌握机械系统的动态参数对于运行人员有很好的指导意义。通常,系统的动态参数识别经常采用理论模态分析和实验模态分析方法,它们对于机械设备的设计和故障分析具有非常重要的意义。但是,这两种方法分别存在着复杂的数学分析和难以模拟实际机械系统的工作状况的缺陷。本文提出应用时间序列分析方法来识别机械系统的动态参数,正是为了克服前两种分析方法的不足,可以在既不需要太复杂的数学理论知识和设备的具体物理结构信息,也不需要在了解设备的工作激励的情况下,仅仅利用测量获得的响应,就可以计算出机械设备的动态参数。应用实例通过对水轮机叶片振动信号建立ARMA模型,然后利用模型与系统动态参数的关系,可以获得叶片的各阶模态固有频率和阻尼比^[5]。更多还原

【Abstract】 The dynamic characteristic of mechanical system is a vital indicator that response the condition of the mechanical equipment,it is important and guidable to achieve the dynamic parameter of the mechanical system.Generally,the theory modal analysis and the tentative modal analysis is the two ways often used,which are full of import meaning to design of mechanical equipment and analyze the mechanical failure,but there are their own faults,the former needs the complicated mathematical analysis while the latter is difficult to imitate the actual conditions of mechanical equipment.this thesis present the method to identify the parameter of mechanical system by time series analysis.This method breaks through the faults of the two methods before,and only after you achieve the response of mechanical system under the condition of unknown stimulant,you could calculate the dynamic parameter.This example applys the blade vibration signal to establish ARMA model,and then calculate modal natural frequency and damped ratio by the relationship between the model system and the dynamic parameters^[5].更多还原