Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Research on Reliability Prediction of Power Management Module

Authors
Shuai Han, Feng Ding
Corresponding Author
Shuai Han
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.301How to use a DOI?
Keywords
Reliability prediction; The component count method; The stress analysis method; The power Management module
Abstract
As an important part of the reliability design, the reliability prediction of electronic products reflects the reliability level of electronic components and the whole system. By analysis the structure and function model of a power Management module, this paper separately applies the component count method and the stress analysis method to predict its reliability according to the military standard GJB/Z99C 2006. The analysis results indicate that the component count method is suitable for the preliminary design phase of product due to its simplicity and less time consuming. Furthermore, the stress analysis method is better to be applied in the detailed design phase of product due to its complexity and more time consuming.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.301How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shuai Han
AU  - Feng Ding
PY  - 2016/12
DA  - 2016/12
TI  - Research on Reliability Prediction of Power Management Module
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.301
DO  - https://doi.org/10.2991/mcei-16.2016.301
ID  - Han2016/12
ER  -