Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

Prognostics and Health Management technology of Armored Gun Control Subsystem

Authors
Jialiang Li
Corresponding Author
Jialiang Li
Available Online April 2016.
DOI
10.2991/icmemtc-16.2016.145How to use a DOI?
Keywords
Gun Control Subsystem; PHM; Feature Extraction; Sensor Fusion
Abstract

Prognostics and Health Management (PHM) achieved the transformation from the traditional fault diagnosis to the intelligent fault prediction, it can achieve autonomous security and maintenance functions, as appropriate. Military armored equipment needs to integrate this technology to improve troubleshooting and predictive capabilities. This paper described the PHM technology, and to a certain type of armored equipment gun control subsystem, for example, designed the gun control subsystem PHM system, and verified with the stabilizer of gun control system by using fuzzy logic approach for fault prediction, it gave some reference and guidance for the development of PHM technology in armored equipment.

Copyright
© 2016, 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 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/icmemtc-16.2016.145
ISSN
2352-5401
DOI
10.2991/icmemtc-16.2016.145How to use a DOI?
Copyright
© 2016, 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  - Jialiang Li
PY  - 2016/04
DA  - 2016/04
TI  - Prognostics and Health Management technology of Armored Gun Control Subsystem
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 727
EP  - 731
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.145
DO  - 10.2991/icmemtc-16.2016.145
ID  - Li2016/04
ER  -