Application of immune neural network for electro-hydraulic servo valve fault diagnosis

Author

Fu, Lian-dong ; Chen, Kui-sheng ; Fu, Shu-guang ; Liu, Long-yuan ; Zhu, Jin

Author_Institution

Coll. of Machinery & Autom., Wuhan Univ. of Sci. & Technol., Wuhan

Volume

4

fYear

2008

fDate

12-15 July 2008

Firstpage

1898

Lastpage

1902

Abstract

Using the biological immunology principle unifies the neural network and the immunity algorithm to form the immunity neural network, which is applied to electro-hydraulic servo valve breakdown diagnosis. The result indicated that, the immunity neural network can identify many kinds of failures pattern recognition accurately by the smaller network scale, and has the high efficiency, good fault-tolerant performance and formidable auto-adapted ability.

Keywords

control engineering computing; electrohydraulic control equipment; fault diagnosis; neural nets; pattern recognition; servomechanisms; valves; biological immunology principle; electro-hydraulic servo valve fault diagnosis; failures pattern recognition; immune neural network; Artificial neural networks; Fault diagnosis; Feedforward neural networks; Immune system; Machine learning; Machine learning algorithms; Neural networks; Pattern recognition; Servomechanisms; Valves; Breakdown diagnosis; Electro-hydraulic servo valve; Immunity nerve network;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620716

Filename

4620716