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�������պ����ѧѧ�� 2012, Vol. 38 Issue (1) :43-47    DOI:
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��ǿ��1, ��־��2, ��ʤ��2*
1. �������̴�ѧ ��������ϵ, �人 430033;
2. �������̴�ѧ Ӧ����ѧϵ, �人 430033
Approach for degradation data analysis based on proportional failure rate model
Zhong Qianghui1, Zhang Zhihua2, Liang Shengjie2*
1. Weapon Engineering Department, Naval University of Engineering, Wuhan 430033, China;
2. Applied Mathematics Department, Naval University of Engineering, Wuhan 430033, China

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Abstract�� Reliability evaluation using products' performance degradation data has become an important method which solves the problem of insufficient failure lifetime observations. On the basis of analyzing the close correlation between products' failure rate and failure critical values, the proportional failure rate mode was introduced for describing the relationship between products' life and failure critical values, and the degradation analysis model was built using the relationship between the lifetime distribution and the degradation characteristic' distribution. In the proposed approach, the physical degradation path model and the degradation characteristic's distribution were not assumed, the values of reliability at different inspection times and different failure critical values were got using products' degradation information, then the unknown parameters were estimated through distribution fitting method and reliability assessment was performed. This approach not only relaxes model assumptions, but applies to dealing with some non-balanced-structure degradation data, which makes it have better adaptability. Finally, an example was given to demonstrate the validity of this approach.
Keywords�� degradation data   proportional failure rate function   least squares estimation   failure critical value   reliability     
Received 2010-09-14;
About author: ��ǿ��(1978-),��,����������,��ʿ��,zqh1978117@126.com.
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��ǿ��, ��־��, ��ʤ��.���ڱ���ʧЧ��ģ�͵��˻����ݷ�������[J]  �������պ����ѧѧ��, 2012,V38(1): 43-47
Zhong Qianghui, Zhang Zhihua, Liang Shengjie.Approach for degradation data analysis based on proportional failure rate model[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2012,V38(1): 43-47
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