Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Research on Reliability of Aeroengine based on Grey Correlation Algorithm

Authors
Jian Zhang, Yanjun Li, Lina Zhang, Zhengqiang Cheng
Corresponding Author
Jian Zhang
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.320How to use a DOI?
Keywords
Aeroengine; Gray Correlation Algorithm; Attribute Reduction; Reliability
Abstract
With the rapid development of the aviation industry, the safety of aircraft is obtaining more and more attention. Engine is the key component of the aircraft, its reliability is increasingly important. This paper proposes a new method of reliability analysis for aircraft engine using grey correlation algorithm based on its characteristic of studying system that some information is known, some information is unknown, small sample, poor information or uncertain. Firstly, simplify the performance parameters of aeroengine using gray relational clustering algorithm to extract key parameters. Then, calculate the reliability of aeroengine using grey relational degree algorithm. Finally, verify the algorithm proposed in this paper using the data of Honeywell. The results show that the algorithm proposed in this paper can effectively estimate the reliability of aeroengine.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Machinery, Materials and Computing Technology
Part of series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.320How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jian Zhang
AU  - Yanjun Li
AU  - Lina Zhang
AU  - Zhengqiang Cheng
PY  - 2016/03
DA  - 2016/03
TI  - Research on Reliability of Aeroengine based on Grey Correlation Algorithm
BT  - 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1606
EP  - 1610
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.320
DO  - https://doi.org/10.2991/icmmct-16.2016.320
ID  - Zhang2016/03
ER  -