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
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;
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
DOI :
10.1109/WiCom.2008.321