@inproceedings{f44c3b33d15c412ca09650912b15cfc4,
title = "A system information decomposition algorithm for reliability assessment of units",
abstract = "In this paper, the historical experiment data of old system are used to extract reliability information of its part, and then combined with the experiment data of new system to evaluate the reliability. Based on Fiducial distribution, a system information decomposition and fusion algorithm for reliability assessment of units is proposed and simulation results demonstrate that the empirical coverage probabilities are above the nominal levels, therefore the effectiveness of the proposed method is proven.",
keywords = "Information decomposition, Reliability assessment, Statistical distribution",
author = "Jian Shi and Yue Chen and Xiaojian Yi and Huina Mu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019 ; Conference date: 15-08-2019 Through 17-08-2019",
year = "2019",
month = aug,
doi = "10.1109/SDPC.2019.00194",
language = "English",
series = "Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1017--1021",
editor = "Chuan Li and Shaohui Zhang and Jianyu Long and Diego Cabrera and Ping Ding",
booktitle = "Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019",
address = "United States",
}