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�������պ����ѧѧ�� 2010, Vol. 36 Issue (11) :1307-1310    DOI:
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�غ���1, ��ɾ�1, ŷ��ƽ2*
1. �������չ���ѧԺ�ൺ��Ժ ���ջ�еϵ, �ൺ 266041;
2. ��װ���ռ������ϲ�, ���� 100071
Analysis of aero engine vibration signal based on blind source separation technology
Qin Haiqin1, Xu Kejun1, Ou Jianping2*
1. Department of Aviati on Mechanism, Qingdao Branch of Naval Aviati on Engineering Institute, Qingdao 266041, China;
2. Aerotechnics Ensur Branch of Navy Equipment Department, Beijing 100071, China

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Abstract�� 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.
Keywords�� aero engine   dual rotors   blind source separation   fault location   vibration signal analysis     
Received 2009-10-09;
Corresponding Authors: �غ���     Email: q_h_q124@tom.com
About author: �غ���(1981-),��,ɽ��������,��ʿ��,q_h_q124@tom.com.
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�غ���, ��ɾ�, ŷ��ƽ.����äԴ���뼼���ĺ��շ��������źŷ���[J]  �������պ����ѧѧ��, 2010,V36(11): 1307-1310
Qin Haiqin, Xu Kejun, Ou Jianping.Analysis of aero engine vibration signal based on blind source separation technology[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2010,V36(11): 1307-1310
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