Title :
Fault diagnosis of electro-hydraulic servo valve based on neural network
Author :
Tan Shubin ; Liu Jianchang
Author_Institution :
Key Lab. of Process Ind. Autom., Northeastern Univ., Shenyang, China
Abstract :
Electro-hydraulic servo valve is a kind of equipment that always leads to some faults in the automatic gauge control system of the strip rolling mill. In order to diagnose faults of electro-hydraulic servo valves better, a three layers BP neural network was designed based on collection and analysis on the characteristic information of some their faults before. Simulation results proved that the BP neural network could satisfy most of demand for fault diagnosis of electro-hydraulic servo valves.
Keywords :
backpropagation; electrohydraulic control equipment; fault diagnosis; gauges; neural nets; rolling mills; valves; BP neural network; automatic gauge control system; electro-hydraulic servo valve; fault diagnosis; strip rolling mill; Artificial neural networks; Fault diagnosis; Fuzzy control; Mechanical systems; Servomotors; Support vector machines; Valves; automatic gauge control; electro-hydraulic servo valve; fault diagnosis; rolling mill;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778372
