Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference

Application of Modified ART1 Neural Network in Aero-engine Fault Diagnosis

Authors
Hong-li Wang, Bing Xu, Yuan Zheng, Xue-dong Xue, Kan Cheng
Corresponding Author
Hong-li Wang
Available Online May 2015.
DOI
https://doi.org/10.2991/ipemec-15.2015.28How to use a DOI?
Keywords
Aero-Engine; Adaptive Resonance Theory (ART) Network; Fault Diagnosis; Quadratic-estimation Four-circumscription
Abstract
According to principles of aero-engine fault diagnosis and flight data,this paper introduces a fault diagnosis method based on reformative ART1 neural network.After data pretreatment,it uses four-circumscription and quadratic-estimation to build fault codes and eliminate inveracious fault,and also ameliorate input layer of ART1 network.So this network can diagnoses not only gusty fault,but also gradual fault.It is proved that this method has high precision,strong restrain against noises,and low rate of inveracious alarms.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Power, Electronics and Materials Engineering Conference
Part of series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-73-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ipemec-15.2015.28How 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  - Hong-li Wang
AU  - Bing Xu
AU  - Yuan Zheng
AU  - Xue-dong Xue
AU  - Kan Cheng
PY  - 2015/05
DA  - 2015/05
TI  - Application of Modified ART1 Neural Network in Aero-engine Fault Diagnosis
BT  - 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.28
DO  - https://doi.org/10.2991/ipemec-15.2015.28
ID  - Wang2015/05
ER  -