A Modeling Method of Stochastic Parameters’ Inverse Gauss Process Considering Measurement Error under Accelerated Degradation Test
Joint Authors
Zhang, Lijie
Liu, Xiaoping
Wu, Zhenyu
Cui, Dejun
Guo, Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
To solve the problem that the individual differences and the measurement errors affect the accuracy of life estimation in accelerated degradation test, the inverse Gauss process with stochastic parameters is applied in the accelerated degradation test with the consideration of the influence of individual differences, and the analysis of measurement uncertainty is carried out.
An inverse Gauss accelerated degradation model considering both individual differences and measurement errors is established.
In the maximum likelihood estimation of parameters, Genetic Algorithm and Monte Carlo integral are used to solve the problems caused by complex integral and the unobservable measurement errors in the calculation process.
Finally, the proposed method is verified by the Monte Carlo simulation under the constant accelerated stress and step accelerated stress and the illustrative example of electrical connectors under the constant acceleration stress, respectively.
The results show that the modeling tool is useful for improving the accuracy of the life prediction and the reliability evaluation.
American Psychological Association (APA)
Liu, Xiaoping& Wu, Zhenyu& Cui, Dejun& Guo, Bin& Zhang, Lijie. 2019. A Modeling Method of Stochastic Parameters’ Inverse Gauss Process Considering Measurement Error under Accelerated Degradation Test. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1200831
Modern Language Association (MLA)
Liu, Xiaoping…[et al.]. A Modeling Method of Stochastic Parameters’ Inverse Gauss Process Considering Measurement Error under Accelerated Degradation Test. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1200831
American Medical Association (AMA)
Liu, Xiaoping& Wu, Zhenyu& Cui, Dejun& Guo, Bin& Zhang, Lijie. A Modeling Method of Stochastic Parameters’ Inverse Gauss Process Considering Measurement Error under Accelerated Degradation Test. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1200831
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200831