Title :
MATLAB Design and Research of Fault Diagnosis Based on ANN for the C3I System
Author :
Zhao, Weikang ; Song, Lu ; Zhao, Zhenjiang ; Na, Dantong
Author_Institution :
Dept. of Electron. Eng., Changchun Inst. of Eng. Technol., Changchun, China
Abstract :
Artificial neural networks (ANN) are an information-processing method of a simulation of the structure for biological neurons. C3I system as a modern combat unit can control and command the army action and can communicate to others. This paper makes a research on the approach of the artificial neural network for fault diagnosis of C3I system and constructs a fault diagnosis system of C3I system with ANN. And the system can analyze fault phenomena and detect C3I system fault. It will greatly improve the response to the C3I system fault diagnosis and maintenance efficiency.
Keywords :
command and control systems; control engineering computing; fault diagnosis; neural nets; software fault tolerance; software maintenance; C3I system; MATLAB design; army action; artificial neural network; biological neurons; combat unit; control and command; fault diagnosis; fault phenomena; information-processing method; system fault detection; system maintenance; Artificial neural networks; Fault diagnosis; MATLAB; Maintenance engineering; Mathematical model; Neurons; Training;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600194