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

Research on the Method of Aeroengine Fault Diagnosis based on Immune Genetic Algorithm

Authors
Yanjun Li, Jian Zhang, Lina Zhang, Zhengqiang Cheng
Corresponding Author
Yanjun Li
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.321How to use a DOI?
Keywords
Aeroengine; Fault Diagnosis; Immune Genetic Algorithm; Gas Path Parameter
Abstract
In this paper, an immune genetic algorithm based on the performance parameters of aeroengine and the adaptive, learning and memory characteristics of artificial immune system (AIS) was put forward to diagnose the fault of aeroengine. Firstly, we generate the initial detector according to the fault samples, and optimize the matching relationship to improve the representation and coverage. Then train the detector with the genetic algorithm to learn and remember the fault information. Finally, we identify the faults of aeroengine by the mature detector. The results show that the method can accurately identify the engine fault by using the parameters of the aeroengine gas path provided by Honeywell company.
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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-16.2016.321How 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  - Yanjun Li
AU  - Jian Zhang
AU  - Lina Zhang
AU  - Zhengqiang Cheng
PY  - 2016/03
DA  - 2016/03
TI  - Research on the Method of Aeroengine Fault Diagnosis based on Immune Genetic Algorithm
BT  - 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1611
EP  - 1615
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.321
DO  - https://doi.org/10.2991/icmmct-16.2016.321
ID  - Li2016/03
ER  -