基于模型的转子弯曲程度识别方法

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。

Identification of rotor bending deformation degree based on model

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.