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A reliability estimation approach via Wiener degradation model with measurement errors

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成果类型:
期刊论文
作者:
Pan, Donghui;Wei, Yantao;Fang, Houzhang;Yang, Wenzhi*
通讯作者:
Yang, Wenzhi
作者机构:
[Pan, Donghui; Yang, Wenzhi] Anhui Univ, Sch Math Sci, Hefei 230601, Anhui, Peoples R China.
[Wei, Yantao] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
[Fang, Houzhang] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China.
通讯机构:
[Yang, Wenzhi] A
Anhui Univ, Sch Math Sci, Hefei 230601, Anhui, Peoples R China.
语种:
英文
关键词:
Expectation maximization;Measurement errors;Reliability;Wiener process
期刊:
Applied Mathematics and Computation
ISSN:
0096-3003
年:
2018
卷:
320
期:
C
页码:
131-141
基金类别:
The authors would like to express their sincere gratitude to the associate editor and two anonymous referees for their constructive comments which considerably help to improve the original manuscript. The works of D. H. Pan and W. Z. Yang were partly supported by the National Natural Science Foundation of China under Grants 11501005 and 11601006 , the Natural Science Foundation for the Higher Education Institutions of Anhui Province of China under Grant KJ2016A027 , the Academic and Technology Leaders to Introduction Projects of Anhui University. The work of H. Z. Fang was supported by the National Natural Science Foundation of China under Grant 41501371. The work of Y. T. Wei was supported by the National Natural Science Foundation of China under Grant 61502195.
机构署名:
本校为其他机构
院系归属:
教育信息技术学院
摘要:
This paper proposes a reliability estimation approach based on EM algorithm and Wiener processes by considering measurement errors. Firstly, the time-transformed Wiener processes are used to model the degradation process of the product, which simultaneously consider the temporal variability, unit-to-unit heterogeneity and measurement errors. In addition, we obtain the closed-form expressions of some reliability quantities such as reliability function and probability density function of the life. Moreover, the expectation maximization algorithm ...

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