Title :
The Fault Diagnosis Based on Immune Neural Network
Author :
Chen, Qiang ; Li, Zhengjie
Author_Institution :
Coll. of Mech. & Electr. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
Abstract :
Information model for complex equipment fault in space exist serious overlap problem, the author proposed a fault diagnosis based on immune neural network, this method gives a combination of immune algorithm and neural network´s edge. Simulation results show that the method can improve diagnosis ability to complex fault diagnosis model.
Keywords :
fault diagnosis; machinery; mechanical engineering computing; neural nets; complex equipment fault; complex fault diagnosis model; immune algorithm; immune neural network; Decision support systems; Information science; anomaly detection; fault diagnosis; immune algorithm; immune neural network;
Conference_Titel :
Information Science and Engineering (ISISE), 2010 International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-428-2
DOI :
10.1109/ISISE.2010.107
