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�������պ����ѧѧ�� 2011, Vol. 37 Issue (4) :433-438    DOI:
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Multiple fault diagnosis method with unreliable test
Fang Jiayong, Xiao Mingqing, Wang Xueqi, Yu Hang*
ATS Lab, Air Force Engineering University, Xi’an 710038, China

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Abstract�� Aiming at low diagnosis precision and high false alarm of complex systems diagnosis, a multiple fault diagnosis method was proposed. In order to solve the difficulties of building Bayesian networks’ structure and conditional probabilities table, the system-s multi-signal flow graphs model was built. By introducing unreliability probability into conditional probabilities table, the proposed method-s robustness was enhanced. The problem was concluded as the extreme value problem with inequality constraints by using Bayes maximal posterior probability. The optimized result was obtained by the 0-1 programming implicit enumeration. The electronic equipment of guidance system was explored to illustrate the effectiveness of the proposed method.
Keywords�� multi-signal flow graph model   diagnostic Bayesian networks   Bayes posterior probability   0-1 programming implicit enumeration     
Received 2010-01-22;
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About author: ������(1983��),��,���������,��ʿ��,fjylike@sohu.com.
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������, Ф����, ��ѧ��, ��.���Բ��ɿ������¶������Ϸ���[J]  �������պ����ѧѧ��, 2011,V37(4): 433-438
Fang Jiayong, Xiao Mingqing, Wang Xueqi, Yu Hang.Multiple fault diagnosis method with unreliable test[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2011,V37(4): 433-438
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