Research on the Method of Aeroengine Fault Diagnosis based on Immune Genetic Algorithm
Yanjun Li, Jian Zhang, Lina Zhang, Zhengqiang Cheng
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.321How to use a DOI?
- Aeroengine; Fault Diagnosis; Immune Genetic Algorithm; Gas Path Parameter
- 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.
- 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 - 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 - https://doi.org/10.2991/icmmct-16.2016.321 ID - Li2016/03 ER -