Title :
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
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;
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
DOI :
10.1109/WCICA.2008.4592860
