Research of Faulty Sensors Data Reconstructed for Liquid-Propellant Rocket Engines

Yan Jun Li; Xiao Hui Peng; Yu Qiang Cheng; Jian Jun Wu

doi:10.4028/www.scientific.net/AMM.229-231.1449

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 229-231Research of Faulty Sensors Data Reconstructed for...

Research of Faulty Sensors Data Reconstructed for Liquid-Propellant Rocket Engines

Abstract:

In this paper, the data of faulty sensors reconstruct algorithm of liquid-propellant rocket engine is developed based on adaptive neuro-fuzzy inference system. First, the input parameters selected for method is according to regularity criterion and the relationships between each parameter; second, adaptive neuro-fuzzy inference system is train by normal test, finally, the fuzzy mode is validated by normal data and the data of faulty sensor is reconstructed. The results indicate that this algorithm can reconstruct the data of faulty sensors accurately and show that the fuzzy model approach has good performance in faulty sensors data reconstruct for LRE.

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Periodical:

Applied Mechanics and Materials (Volumes 229-231)

Pages:

1449-1453

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.229-231.1449

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Online since:

November 2012

Authors:

Yan Jun Li, Xiao Hui Peng, Yu Qiang Cheng, Jian Jun Wu

Keywords:

Data Reconstruct, Fuzzy Model, Liquid Propellant Rocket Engines, Sensor

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