DocumentCode
2193549
Title
Radar equipment fault diagnosis method based on support vector domain description
Author
Wei, Shang ; Yuying, Liang ; Du Minjie ; Sai, Zhu
Author_Institution
Opt. & Electron. Eng. Dept., Ordnance Eng. Coll., Shijiazhuang, China
fYear
2011
fDate
9-11 Sept. 2011
Firstpage
2193
Lastpage
2195
Abstract
To surmount the problem that radar equipment fault detection data to be hard get, support vector domain description is be used to diagnose radar fault, and have established the kind of classification model based on a classification. This model uses few fault sample and the sample under normal state to establish fault classification model, realizes the fault diagnosis of fault identification and complete radar equipment. Finally, through diagnose fault of logarithm magnifying circuit to verify the feasibility of this method, and reach a good diagnosis result.
Keywords
fault diagnosis; learning (artificial intelligence); radar computing; radar equipment; fault classification model; fault identification; fault sampling; logarithm magnifying circuit; radar equipment fault diagnosis method; support vector domain description; Circuit faults; Fault diagnosis; Mathematical model; Radar equipment; Support vector machines; Training; Comparative radius; Condition monitoring; Fault diagnosis; Support vector domain description (SVDD);
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4577-0320-1
Type
conf
DOI
10.1109/ICECC.2011.6067639
Filename
6067639
Link To Document