基于模型的转子弯曲程度识别方法  

Identification of rotor bending deformation degree based on model

作　　者：李常有[1,2] 徐敏强[1] 郭耸[3] 王跃武[2] 

机构地区：[1]哈尔滨工业大学航天学院,哈尔滨150001 [2]东北大学机械工程与自动化学院,沈阳110004 [3]哈尔滨工程大学计算机科学与技术学院,哈尔滨150001

出　　处：《吉林大学学报（工学版）》2010年第4期1019-1024,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(10772061);黑龙江省自然科学基金项目(ZJG0704)

摘　　要：采用基于模型的处理方法对转子弯曲程度进行识别。首先记录转子的初始振动信号,然后根据实时测取的响应得出差值信号。联立正常状态下的转子系统动力学模型,获得等效载荷,对等效载荷进行分析以识别出转子的弯曲程度。由于噪声影响,提出了基于经验模式分解(EMD)的降噪方法,对受污染的等效载荷进行降噪。仿真结果表明,该方法对转子弯曲程度的识别是有效的。An approach based on model was employed to identify the rotor bending deformation degree. The original vibration signals of the rotor system were recorded,the difference between the online detected vibration signals and the original signals were computed. Combining with the rotor system dynamics model in normal state,the equivalent loads on each node were obtained,and the online bending degree of the rotor was identified by analyzing the equivalent loads. In view of a lot of noise existing in the signals,a denoise approach based on the empirical mode decomposition was proposed and employed. The results of the numerical examples show that the proposed approach is effective in identification of the rotor bending deformation degree.

关 键 词：机械学 转子系统 转子弯曲识别 

分 类 号：TH133.33[机械工程—机械制造及自动化]