DocumentCode :
2165690
Title :
Study on Fault Diagnosis for radar´s transmitter based on Bayesian network
Author :
Lijia, Xu ; Zhiliang, Kang
Author_Institution :
School of Information & Engineering Technology, Sichuan Agriculture University, Ya´´an, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
5448
Lastpage :
5451
Abstract :
Fault Diagnosis for radar´s transmitter is very crucial, yet very difficult. Transmitter is complex electrical equipment whose units are full of uncertain factors and information. The paper puts forward a new fault diagnosis method based on Bayesian network for the transmitter. The cause-result graph of transmitter is gained by analyzing its structure firstly, and then the fault model based on Bayesian network is built. The next step is to study its parameters by using certain algorithm. Finally the fault model is tested, and the experiment results show that the proposed method is very effective for diagnose the faults of transmitter.
Keywords :
Agriculture; Bayesian methods; Educational institutions; Fault diagnosis; Learning; Radar; Transmitters; Bayesian network; Radar transmitter; fault diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5691929
Filename :
5691929
Link To Document :
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