基于盲源分离技术的航空发动机振动信号分析

基于双转子航空发动机机匣拾取振动信号特征的分析,采用基于数学形态学滤波前处理的盲源分离识别方法进行特征提取.针对机匣拾取振动信号的特征,利用开—闭和闭—开组合数学形态滤波器在保留信号基本形状的前提下,滤除掉原始信号中的噪声分量.利用Fast ICA算法恢复高、低压转子源振动信号的波形.对实测数据的分析表明,该方法能够较好地恢复高、低压转子所激振动信号的频域结构信息,有利于提高故障定位的准确性.

Analysis of aero engine vibration signal based on blind source separation technology

In order to improve the accuracy of vibration monitoring and fault diagnosis, a blind source separation frame which is combining mathematical morphology preprocessing and Fast ICA arithmetic was brought out based on the characteristics of dual rotors aero engine case vibration signal. It is that the original signal was preprocessed by open—close and close—open combinatorial mathematical morphology. The signal noise can be well filtered, but its fundamental form can be reserved. The Fast ICA arithmetic was used to get back the high and low rotor-s vibration waveform. The frame was used to analyse the real testing data. The result shows that the method can well respectively resume the high and low rotor signal frequency domain structure information. It is very helpful to improve the accuracy of fault location.