Title :
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
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;
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
DOI :
10.1109/ICMLC.2008.4620716
