航空发动机双转子系统相关性的单传感器识别

Correlation recognition of aero-engine double rotor system based on single sensor

探寻子系统激励之间的相关性对研究系统振动响应的准确性具有一定的影响。将运动状态复杂的系统看作一个由多子系统组成,有利于分析各子系统间的相关性,基于这一概念对某型双转子航空发动机建立了双转子激励源振动网络模型,利用基于峭度的单通道盲源分离技术,对该双转子航空发动机的实测振动信号进行了单传感器信号识别。试验结果显示低压转子信号中含有高、低压转子基频的线性组合,分别为ω1+ω2和ω1+2ω2。验证了高、低压双转子激励间具有相关性,并通过各自的振动特征识别出主振动源。

The exploration of the correlation among subsystems excitation has a certain influence on the accuracy of the vibration response of the research system. The system with complex motion state is regarded as a multi-subsystem,which is beneficial to analyze the correlation among subsystems. Based on this concept,a dual-rotor excitation source vibration network model is established for a dualrotor aero-engine. The single-sensor signal identification of the vibration signal of the dual-rotor aero-engine is carried out by using the kurtosis-based single-channel blind source separation technique. The test results show that in the low voltage rotor signal,the linear combination of high and low voltage rotor fundamental frequencies is shown as ω1+ ω2 and ω1+ 2ω2,respectively. It is verified that there is a correlation between high and low voltage double rotor excitations,and the main vibration source is identified by the respective vibration characteristics.