Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

Analysis of Reliability Prediction Technology for Aerospace Single Electronic Products

Authors
Wei Wang1, *
1Information Transmission and Processing Division, Aerospace Star Technology Co., Ltd., Beijing, China
*Corresponding author. Email: jadwang321@163.com
Corresponding Author
Wei Wang
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_138How to use a DOI?
Keywords
Reliability Prediction; Aerospace Electronic Products; Mission Profile; Mission Reliability
Abstract

This paper analyzes the matters that should be paid attention to during the reliability prediction of aerospace electronic products, the corresponding relationship among mission profile, mission reliability model, and reliability prediction parameters, and the requirements for data and modeling to more accurately predict the reliability of products.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
978-94-6463-030-5
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_138How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Wei Wang
PY  - 2022
DA  - 2022/12/20
TI  - Analysis of Reliability Prediction Technology for Aerospace Single Electronic Products
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1385
EP  - 1396
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_138
DO  - 10.2991/978-94-6463-030-5_138
ID  - Wang2022
ER  -