DocumentCode
3430731
Title
Design and Research of Fault Diagnosis Based on ANN for the Short-Wave Radio
Author
Na, Dantong ; Song, Lu ; Zhao, Weikang ; Zhang, Zigang
Author_Institution
Dept. of Electron. Eng., Armor Tech. Inst. of PLA, Changchun
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
5
Abstract
Artificial neural networks (ANN) are an information-processing method of a simulation of the structure for biological neurons. This paper makes a research on the approach of the artificial neural network for fault diagnosis of short-wave radios and constructs a fault diagnosis system of short-wave radios with ANN. And the system can analyze fault phenomena and detect radios fault. It will greatly improve the response to the radio fault diagnosis and maintenance efficiency.
Keywords
fault diagnosis; neural nets; radio networks; telecommunication computing; ANN; artificial neural networks; fault diagnosis; maintenance efficiency; short-wave radio; Artificial neural networks; Biological system modeling; Design engineering; Fault diagnosis; Information processing; Mathematical model; Mathematics; Nerve fibers; Neurons; Programmable logic arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.321
Filename
4678230
Link To Document