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�������պ����ѧѧ�� 2010, Vol. 36 Issue (3) :261-264    DOI:
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Fault diagnosis for piston head looseness of aero hydraulic pump
Zhao Sijun, Wang Shaoping, Shang Yaoxing*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� Piston head looseness is a typical progressive failure of aero hydraulic pump. It is difficult to make precise fault diagnose because the fault feature is misty, the fault samples are insufficient and the measurable signals are full of structure coupling and noise besides failure feature. In order to solve above problems, a fault diagnosis method based on contracted support vector machine(SVM) was proposed. In the new method, rough set was utilized to reduce the fault characteristic value and eliminate redundancy in order to find the minimal attribute describing system fault characters on the premise of unchanged classification quality. The sample data disposed by rough set were used to train SVM to realize fault diagnosis. The experiment result of the trained contracted SVM shows that this diagnosis method is suitable for the high-precision fault diagnosis of the aero hydraulic pump.
Keywords�� support vector machines   rough set   fault diagnosis   aero hydraulic pump   piston head looseness     
Received 2009-02-24;
Fund:

���տƼ����»���������Ŀ(08D51010); 863�߿Ƽ��ƻ�������Ŀ(2009AA04Z412); 111�ƻ�������Ŀ

About author: ���ľ�(1979-),��,����������,��ʿ��, windowsunzhao@yeah.net.
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���ľ�, ����Ƽ, ��ҫ��.����Һѹ��������϶����������[J]  �������պ����ѧѧ��, 2010,V36(3): 261-264
Zhao Sijun, Wang Shaoping, Shang Yaoxing.Fault diagnosis for piston head looseness of aero hydraulic pump[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2010,V36(3): 261-264
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