Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

The Evaluation Method of Equipment System of Systems Based on Big Data Analysis

Authors
Dong Liu, Kang Li
Corresponding Author
Dong Liu
Available Online April 2015.
DOI
10.2991/amcce-15.2015.241How to use a DOI?
Keywords
equipment system of systems; efficiency evaluation; data analysis
Abstract

In the evaluation of equipment system of systems(SoS), equipment data has shown some new characters, such as big volume, wide range sources, and dynamic variance. The paper pointed out the idea to evaluate equipment SoS based on big data analysis techniques. The outline of the method is provided from two points of view, namely the big data processing techniques and equipment SoS evaluation methods. Based on big data, equipment SoS efficiency evaluation, counter evaluation, and other deeper level applications, such as intelligence processing and situation analysis, can be made. The method is a new method in the equipment SoS evaluation field.

Copyright
© 2015, 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 2015 International Conference on Automation, Mechanical Control and Computational Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/amcce-15.2015.241
ISSN
1951-6851
DOI
10.2991/amcce-15.2015.241How to use a DOI?
Copyright
© 2015, 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  - Dong Liu
AU  - Kang Li
PY  - 2015/04
DA  - 2015/04
TI  - The Evaluation Method of Equipment System of Systems Based on Big Data Analysis
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.241
DO  - 10.2991/amcce-15.2015.241
ID  - Liu2015/04
ER  -