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

DOI

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.

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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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  - Proceedings of the 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  - 10.2991/icmmct-16.2016.321
ID  - Li2016/03
ER  -