Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

A New Method of Dynamic Prediction on Remaining Useful Life of Barrel

Authors
Da Xu, Ye Luo, Wenbo Fan
Corresponding Author
Da Xu
Available Online April 2016.
DOI
10.2991/ameii-16.2016.280How to use a DOI?
Keywords
remaining useful life, dynamic prediction, artillery barrel
Abstract

To fully use the performance degradation similarity of the congeneric barrels, for the traits of nonlinear and small sample during the performance degradation process of a barrel, a dynamic prediction model on remaining useful life (RUL) of barrel is proposed, on the basis of fuzzy c-means theory and support vector regression optimized by the optimum model of particle swarm optimization. Lastly, the effectiveness and superiority of this proposed model have been validated by the case of a barrel compared with the improved Verhulst gray theory. In conclusion, a new method is obtained for the prediction on remaining useful life of barrel.

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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-188-9
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.280How 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  - Da Xu
AU  - Ye Luo
AU  - Wenbo Fan
PY  - 2016/04
DA  - 2016/04
TI  - A New Method of Dynamic Prediction on Remaining Useful Life of Barrel
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.280
DO  - 10.2991/ameii-16.2016.280
ID  - Xu2016/04
ER  -