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�������պ����ѧѧ�� 2011, Vol. 37 Issue (6) :690-694    DOI:
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�ž�ǫ, ����, �����*
�������պ����ѧ ��е���̼��Զ���ѧԺ, ���� 100191
Method to analyze the impact of maintenance and support process based on neural network
Wen Jingqian, Li Qing, Zhao Qingbin*
School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� To solve the problem in determining key influence factors of maintenance and support, a new quantitative method was put forward which takes the support service processes as analysis object. In this method, the relation function between the influence factors and equipment performance was established, and the definitions of the influence degree, key element, key influencing factors and the combined influence degree were given out. To analyze the maintenance and support ability of manufacturer, the account, efficiency and stability of support processes were used as assessment indexes. Based on back-propagation neural network, the approximation solution for the relation function was calculated out by MATLAB software, which provided a computer realization to find out the key process and key influence factor for the producer. An application of certain aircraft manufacture was given to demonstrate the process analysis result. Compared with the expert grading method, the result obtained by this method is more objective.
Keywords�� neural networks   maintenance support capability analysis   impact measurement   key factors   key process     
Received 2010-09-24;


About author: �ž�ǫ(1978-),��,���շ�����,��ʿ��,wenjq@me.buaa.edu.cn.
�ž�ǫ, ����, �����.�����������ά�ޱ�������Ӱ��ȷ�������[J]  �������պ����ѧѧ��, 2011,V37(6): 690-694
Wen Jingqian, Li Qing, Zhao Qingbin.Method to analyze the impact of maintenance and support process based on neural network[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2011,V37(6): 690-694
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