Research on multi-parameter fault pattern recognition of electro-hydraulic servo valve based on BP neural networks

Author

Chen, Xinyuan ; Guo, Yuan ; Chen, Chen ; Lan, Tao

Author_Institution

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

fYear

2008

fDate

25-27 June 2008

Firstpage

6049

Lastpage

6052

Abstract

In the paper, the mapping relation between static characteristics of electro-hydraulic servo valve and fault pattern is analyzed. The method of multi-parameter fault pattern recognition of electro-hydraulic servo valve based on BP neural networks is introduced, which is researched based on tests. The result shows that the accuracy rate of fault pattern recognition is higher by adopting this method. Furthermore it can be combined with the test function of servo valve test stand to form a kind of testing system with self-study, automatic test and intelligence diagnosis.

Keywords

backpropagation; electrohydraulic control equipment; fault diagnosis; neurocontrollers; servomotors; valves; BP neural networks; electrohydraulic servo valves; fault patterns; intelligence diagnosis; multiparameter fault pattern recognition; test function; Automatic testing; Automation; Data mining; Educational institutions; Feature extraction; Neural networks; Pattern recognition; Servomechanisms; System testing; Valves; Electro-hydraulic servo valve; Fault diagnosis; Neural networks; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4592860

Filename

4592860