A Health Condition Monitoring Method of Aeroengine Gas Path System Based on Consistency Fusion and Neural Network

Jian Guo Cui; Can Wu; Li Ying Jiang; Yi Wen Qi; Guo Qiang Li

doi:10.4028/www.scientific.net/AMM.385-386.981

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386A Health Condition Monitoring Method of Aeroengine...

A Health Condition Monitoring Method of Aeroengine Gas Path System Based on Consistency Fusion and Neural Network

Abstract:

Because of the complex structure, poor working conditions and lots of fault modes of aeroengine , it is necessary to monitor the operational status, accurate localization of aeroengine fault and identify fault to improve the safety and reliability of aircraft. Based on consistency fusion, this paper uses probabilistic neural network to monitor health condition of aeroengine and puts forward a combined method of health condition monitoring based on the consistency fusion and the neural network. The results of test show that this method can quickly monitor the health condition of the aeroengine and has certain reference value for other mechanical equipments condition monitoring.

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Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

981-984

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.981

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Online since:

August 2013

Authors:

Jian Guo Cui, Can Wu, Li Ying Jiang, Yi Wen Qi, Guo Qiang Li

Keywords:

Aeroengine Gas Path System, Consistency Fusion, Health Condition Monitoring, Neural Network (NN)

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References

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