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�������պ����ѧѧ�� 2010, Vol. 36 Issue (3) :287-290    DOI:
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Fault diagnosis approach for bearing based on EMD and slice bi-spectrum
Zhang Lin, Huang Min*
Dept. of System Engineering of Engineering Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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ժҪ �����й����������,���һ�ֻ��ھ���ģ̬�ֽ�(EMD,Empirical Mode Decomposition)����Ƭ˫�׷������ϵ��·���.��ԭʼ�źŷֽ�ɲ�ͬ�߶ȵĹ���ģ̬����(IMF,Intrinsic Mode Function),��ȡIMF�����İ���,������Խ���Ƭ˫��,��ȡ���ڶ�����λ��ϲ����ķ���������,�õ���еĹ�������Ƶ��.ͨ���Է����źŽ��з���,�����÷����˷��˴�ͳ�Ļ���EMD�İ��繦���׷�����������������ȱ��,ͬʱ�ϴ�ͳ�߽��׷�����������С.������6205-2RS JEM SKF������ʵ��,˵���˸÷����Ŀ�����.
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Abstract�� A new approach based on the empirical mode decomposition (EMD) and slice bi-spectrum was presented for fault diagnosis on roller bearings. Original signals were decomposed into a series of intrinsic mode functions (IMFs) of different scales. Envelopes of the IMFs were extracted and a diagonal slice bi-spectrum for the envelopes was computed to extract the non-linear feature deriving from the quadratic phase coupling, as well as the fault characteristic frequencies. An analysis on simulation signals shows that the drawback that traditional envelope spectrum methods based on EMD cannot inhibit the noise can be overcome by this approach. Meanwhile, its computation load is less than traditional high-order spectrum methods. A diagnosis instance of the bearing 6205-2RS JEM SKF was presented to show the feasibility of this approach.
Keywords�� fault diagnosis   bearings   empirical mode decomposition   slice bi-spectrum     
Received 2009-03-04;
About author: �� ��(1984-),Ů,�����,˶ʿ��,zl@dse.buaa.edu.cn.
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�� ��, �� ��.����EMD����Ƭ˫�׵���й�����Ϸ���[J]  �������պ����ѧѧ��, 2010,V36(3): 287-290
Zhang Lin, Huang Min .Fault diagnosis approach for bearing based on EMD and slice bi-spectrum[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2010,V36(3): 287-290
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