Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)

Study on Framework Design of Shore Defense Radar Condition-based Support System based on OSA-CBM

Authors
Bing Chen, Gang Lu, Qianqian Liu
Corresponding Author
Bing Chen
Available Online August 2015.
DOI
10.2991/icmeis-15.2015.79How to use a DOI?
Keywords
Shore Defense Rradar; Condition-based Maintenance; OSA-CBM; Fault Diagnosis And Prediction
Abstract

With the daily growing position of coast radar in the shore defense system, maintenance is more and more onerous. The traditional assurance mode is hard to meet the accurate and timely need. Learn from the advanced experience of foreign developed countries in the field of equipment maintenance support, the article researches the function framework of shore defense radar condition-based support system reference to the open systems architecture of OSA-CBM, decomposes the technical difficulties and working prospect deeply to make beneficial exploration for improving the shore defense radar support ability of our country.

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 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-62520-98-1
ISSN
2352-5401
DOI
10.2991/icmeis-15.2015.79How 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  - Bing Chen
AU  - Gang Lu
AU  - Qianqian Liu
PY  - 2015/08
DA  - 2015/08
TI  - Study on Framework Design of Shore Defense Radar Condition-based Support System based on OSA-CBM
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 427
EP  - 432
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.79
DO  - 10.2991/icmeis-15.2015.79
ID  - Chen2015/08
ER  -