U-Optimal Accelerated Life Test Scheme Considering Right Censored Data
Di Cao, Juan Wang, Liangqing Feng
2022
Abstract
The purpose of accelerated life test is to promote more failure units of test products in a shorter time, so as to predict the reliability of products under normal conditions based on the failure data collected under accelerated conditions. In view of the right censored data, some statistical optimality is considered. In the framework of generalized linear model, the semi-parametric Cox proportional hazard model is used to obtain the accelerated life test scheme under the U- and D-optimal criteria. From the perspective of prediction variance, the fitting effect is best when the shape parameter 𝛼 is 1.5 in Weibull distribution. The uncertainty of model parameters is evaluated by Monte Carlo technique to verify the feasibility of the test scheme.
DownloadPaper Citation
in Harvard Style
Cao D., Wang J. and Feng L. (2022). U-Optimal Accelerated Life Test Scheme Considering Right Censored Data. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 530-533. DOI: 10.5220/0011751400003607
in Bibtex Style
@conference{icpdi22,
author={Di Cao and Juan Wang and Liangqing Feng},
title={U-Optimal Accelerated Life Test Scheme Considering Right Censored Data},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={530-533},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011751400003607},
isbn={978-989-758-620-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - U-Optimal Accelerated Life Test Scheme Considering Right Censored Data
SN - 978-989-758-620-0
AU - Cao D.
AU - Wang J.
AU - Feng L.
PY - 2022
SP - 530
EP - 533
DO - 10.5220/0011751400003607
PB - SciTePress