[1] Su Chun, Zhang YeZhang Heng,. Product reliability assessmentbased on proportional hazard degradation model [J]. Journal of Southeast University (English Edition), 2010, 26 (3): 480-483. [doi:10.3969/j.issn.1003-7985.2010.03.022]

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

26

Issue:

2010 3

Page:

480-483

Research Field:

Mathematics, Physics, Mechanics

Publishing date:

2010-09-30

Info

Title:

Product reliability assessmentbased on proportional hazard degradation model

Author(s):

Su Chun;  Zhang YeZhang Heng

School of Mechanical Engineering, Southeast University, Nanjing 211189, China

Keywords:

degradation data;  hazard function;  proportional hazard model;  reliability assessment

PACS:

TB114.3

DOI:

10.3969/j.issn.1003-7985.2010.03.022

Abstract:

In order to evaluate the reliability of long-lifetime products with degradation data, a new proportional hazard degradation model is proposed. By the similarity between time-degradation data and stress-accelerated lifetime, and the failure rate function of degradation data which is assumed to be proportional to the time covariate, the reliability assessment based on a proportional hazard degradation model is realized. The least squares method is used to estimate the model’s parameters. Based on the failure rate of the degradation data and the proportion function of the known time, the failure rate and the reliability function under the given time and the predetermined failure threshold can be extrapolated. A long life GaAs laser is selected as a case study and its reliability is evaluated. The results show that the proposed method can accurately describe the degradation process and it is effective for the reliability assessment of long lifetime products.

References:

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Memo

Memo:

Biography: Su Chun(1970—), male, doctor, associate professor, suchun@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.50405021).
Citation: Su Chun, Zhang Ye, Zhang Heng. Product reliability assessment based on proportional hazard degradation model[J].Journal of Southeast University(English Edition), 2010, 26(3):480-483.

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