LRE Fault Detection and Isolation Based on Fuzzy Direction Neural Network

Min Chao Huang; Bao Yu Xing

doi:10.4028/www.scientific.net/AMM.727-728.880

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 727-728LRE Fault Detection and Isolation Based on Fuzzy...

LRE Fault Detection and Isolation Based on Fuzzy Direction Neural Network

Abstract:

A fuzzy directions neural network used for fault detection and isolation (FDI) of a liquid rocket engine (LRE) is presented in this paper. Neural network utilizes fuzzy sets as engine fault classes. Each fuzzy set is an aggregate of fuzzy direction bodies. A fuzzy direction body is described by a direction vector, an included angle and two radii. FDI simulation of the turbo-pump fed liquid rocket engine demonstrates the strong qualities of the fuzzy direction neural network.

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Periodical:

Applied Mechanics and Materials (Volumes 727-728)

Pages:

880-883

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.727-728.880

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Online since:

January 2015

Authors:

Min Chao Huang*, Bao Yu Xing

Keywords:

Direction Body, Failure Detection, Failure Isolation, Fuzzy Set, Liquid Propellant Rocket Engine, Neural Network

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