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�������պ����ѧѧ�� 2007, Vol. 33 Issue (05) :622-626    DOI:
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CBR methodology application in fault diagnosis of aircraft
Li Qing, Shi Yaqin, Zhou Yang*
School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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ժҪ ���ڰ�������(CBR,Case-Based Reasoning)������һ�ֻ��ھ���֪ʶ�����������ⷽ��,�ʺ��ھ���ḻ������.��Էɻ��ۺ��������л��۵Ĵ���������Ϻ�ά�޾���,��CBR����Ӧ���ڷɻ�������Ϻ�ά�޾���֧��.�ӷɻ�ά�޵��������,������CBR�ɻ�������Ϸ����Ļ�������;�����˷ɻ����ϰ�����Ĺ���������������������ƥ�䡢�����޸ĺ�ά���ȹؼ�����;�ص��о��˹��ϰ�����֪ʶ���,Ӧ���ַ����ֶ�ƥ���K-���ڷ���(KNN,K-Nearest Neighbor)���ϵļ���ģ��ʵ���˰���������ƥ��;����˸����ɻ��������ϵͳ�Ľṹ,������ԭ��ϵͳ������Ӧ��ʵ��.
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Abstract�� CBR(case-based reasoning) is a problem solving technique of using previous experience and cases to find a solution to new problems, which is suitable for those areas of experience-rich. CBR methodology was applied to the fault diagnosis and maintenance decision support of aircraft due to the abundant repair experience accumulated in after-service of aircraft. According to the requirement of aircraft maintenance, the research into the method of aircraft fault diagnosis using CBR was conducted and key techniques, including the case base development, case representation, case retrieval, adaptation and retain, were investigated. The case representation was discussed in detail, and a case retrieval model of combining the character field match with the KNN(K-nearest neighbor) method was established and applied. A framework of aircraft fault diagnosis system was proposed. The prototype system was developed and an application example was given.
Keywords�� case-based reasoning   aircraft maintenance   fault diagnosis   KNN strategy     
Received 2006-12-25;
Fund:

���ֻ���������챱�����ص�ʵ����������Ŀ(JD100060516)

About author: �� ��(1961-),Ů,������÷��,������,liqing@buaa.edu.cn.
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����, ʷ����, ����.���ڰ����������ڷɻ���������е�Ӧ��[J]  �������պ����ѧѧ��, 2007,V33(05): 622-626
Li Qing, Shi Yaqin, Zhou Yang.CBR methodology application in fault diagnosis of aircraft[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2007,V33(05): 622-626
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