Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)

Maintainability Distribution Model for Laser Inertial Navigation System

Authors
Yun Fu, Jin’e Huang, Zhe He
Corresponding Author
Yun Fu
Available Online August 2019.
DOI
10.2991/msbda-19.2019.12How to use a DOI?
Keywords
Laser inertial navigation, Maintainability distribution model, System level, Device level
Abstract

This study builds a maintainability distribution model suitable for laser inertial navigation system beginning with the description of the maintainability index and combining with the characteristics of the system. To enhance the system-level products, the failure rate distribution model is applied, while the weighting factor distribution model of failure rate and design characteristic is applied to the device-level products. Accordingly, these factors providing the basis for the reasonable distribution of maintainability.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
Series
Advances in Computer Science Research
Publication Date
August 2019
ISBN
10.2991/msbda-19.2019.12
ISSN
2352-538X
DOI
10.2991/msbda-19.2019.12How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yun Fu
AU  - Jin’e Huang
AU  - Zhe He
PY  - 2019/08
DA  - 2019/08
TI  - Maintainability Distribution Model for Laser Inertial Navigation System
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 71
EP  - 76
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.12
DO  - 10.2991/msbda-19.2019.12
ID  - Fu2019/08
ER  -