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�������պ����ѧѧ�� 2005, Vol. 31 Issue (11) :1172-1176    DOI:
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Է�п�, ����Ƽ*
�������պ����ѧ �Զ�����ѧ���������ѧԺ, ���� 100083
One method solving parameter estimation of varying stress accelerated life test
Yuan Zhongkui, Wang Shaoping*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� The maximum likelihood function of varying stress accelerated life is a nonlinear multi-dimension complex object function with five evaluated parameters, whose parameter estimation is easy to get into local optimization with grads descending algorithm while has low searching efficiency with global optimal algorithm. To solve the bottleneck between direct and intellective optimization of multi-dimension complex object function, the genetic accelerated algorithm was presented based on real code genetic algorithm and Powell method. Through designing perfect switch with adaptive function, the genetic accelerated algorithm takes the advantages both genetic algorithm and Powell method at furthest that ensure global optimization and keep rapid searching velocity to multi-dimension complex object function. Application of hydraulic pump on accelerated life test shows that the genetic accelerated algorithm was able to fulfill global optimization at the beginning of parameter evaluation process and approach optimal values rapidly at the end of the process, its success rate of optimization can reach 85%.
Keywords�� accelerated life test   maximum likelihood estimation   genetic algorithm   Powell method   genetic accelerated algorithm     
Received 2004-07-09;

������Ȼ��ѧ����������Ŀ(60371043); ��������Ȼ����������Ŀ(4012009); �����������˲�֧�ּƻ�(NCET)

About author: Է�п�(1980-),��,�ӱ�ʯ��ׯ��,˶ʿ��, yuanzhongkui@163.com.
Է�п�, ����Ƽ.һ������Ӧ��������������������Ƶķ���[J]  �������պ����ѧѧ��, 2005,V31(11): 1172-1176
Yuan Zhongkui, Wang Shaoping.One method solving parameter estimation of varying stress accelerated life test[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2005,V31(11): 1172-1176
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