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Proceedings of the 10th Conference on Man-Machine-Environment System Engineering (MMESE 2010 E-BOOK)

Sanya,China,10.22-10.26，2010 E-Book 514pp

ISBN: 978-1-935068-14-3 Pub. Date: November 2010

Scientific Research Publishing, USA

Category: Engineering

Price: $80

Title: Fault Diagnosis Study of C3I System Based on ANN
Source: Proceedings of the 10th Conference on Man-Machine-Environment System Engineering (MMESE 2010 E-BOOK) (pp 323-326)
Author(s): Weikang Zhao, Changchun Institute of Engineering Technology, China Changchun University of Science and Technology, Changchun, China
Zhenjiang Zhao, Changchun Institute of Engineering Technology, China
Dabing Gao, Changchun Institute of Engineering Technology, China
Dantong Na, Changchun Institute of Engineering Technology, China
Ying Li, Changchun Institute of Engineering Technology, 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.